SlideShare une entreprise Scribd logo
1  sur  29
National Drought Mitigation Center
Overview of Drought Vulnerability Research
and Planning in the North Central Region
Dr. Cody L. Knutson
National Drought Mitigation Center
School of Natural Resources
University of Nebraska-Lincoln
cknutson1@unl.edu
“End-to-End”: research-applications-operations-outreach-service
continuum working with users…
NDMC Drought and Impact Monitoring
NDMC Planning and Social Science Program Area
Vulnerability Assessment and Planning
Farmers/ranchers - Communities - Watersheds - States
• Questions: sustainable farmer and holistic rancher’s definitions of
sustainability; effects of 2002-2004 drought; response/adaptation strategies
implemented; use of weather and climate information; barriers to drought
risk reduction and use of weather/climate information
• Methods: mail survey and 48 face-to-face interviews
Knutson, C.L., T. Haigh, M. Hayes, M. Widlham, J. Nothwehr, and M. Kleinschmidt (2011) Farmer
Perceptions of Sustainable Agriculture Practices and Drought Risk Reduction in Nebraska, USA,
Journal of Renewable Agriculture and Food Systems, 26(3): 255-266
Sustainable Adaptations to Drought and Climate
Variability in Agricultural Production Systems Across
Nebraska (2004-2006;UNL collaborators)
Drought Risk Management on the Ranch
Great Plains focus (2006-2012)
Ranchers; UNL/SDSU Extension; NRCS
Questions: effects of drought on ranch operations in the Great Plains,
drought management strategies; drought plan and process, and
recommendations
Methods: 21 telephone interviews with rancher/advisors involved in
drought planning; deliberate dialogue (workshop); case studies, and
advisor input
Managing Drought Risk on the Ranch website:
http://drought.unl.edu/ranchplan/Overview.aspx
Haigh, T., and C. Knutson, Role of Perceived Control and Planning in Ranch
Drought Preparedness, Great Plains Research, in press
Knutson, C. L., and T. Haigh, 2013. A Drought Planning Methodology for
Ranchers in the Great Plains, Rangelands. Vol. 35 (1), pp. 27-33.
Combining Climate Science and Social Science to Develop Decision Support Tools
for Corn Producers and Advisors (2011-2016)
Linda Stalker Prokopy, PhD
U2U Project Director, Associate Professor
Purdue University
5
U2UTeam
State climatologists
Crop modelers
Agronomists
Economists
Social scientists
RCC staff
NOAA staff
U.S. CORN BELT
• Nearly one-third of global supply
• Over $50B to US economy
CurrentWork
• Model the impact of climate and farm management on crop
productivity and profits
– Using past and future climate scenarios
• Understand beliefs and concerns about climate change and
willingness to use climate information
– Surveys and focus groups (also network analysis)
Models and Data Stakeholder Input
Decision
Support Tools
CropModelingandDataAnalysis
• Develop an ensemble of crop models on a 4-km grid, Midwest
– DSSAT, Hybrid-Maize, ISAM
– Range of agronomic outcomes for various climate scenarios (past & future)
• Impact of climate and management on productivity and profits
– Agroclimatic trends analysis (1900-2011)
– Regional ENSO analysis
– NASS ‘field work days’ climatology – trends, patterns, future scenarios
– Effects of crop mix, climate, etc. on capital investment decisions (case studies)
Objective 1: What are the contributions of anomalous weather to
crop variability and implications for future management options?
Producer Survey
• CS-CAP partnership
• Mail survey of +19,000 farmers
• 22 HUC6 watersheds, 60% of US
corn production
• Data joined to NASS Ag Census
Advisor Survey
• Web-based survey of 8,000+ advisors
– All advisors in pilot states, Extension in 12 states
• Crop consultants, Extension, bankers/lawyers, agro-business, state and
federal, crop associations, etc.
ClimateNeedsAssessment Surveys
SurveyQuestion Topics
• Type and timing of farm management strategies
• Influence and use of weather/climate information
• Climate change concerns and beliefs
• Risk management strategies, roles, responsibilities
• Influential information sources
Arbuckle, J., L. Prokopy, T. Haigh, J. Hobs, T. Knoot, C. Knutson, A. Loy, A. Mase, J. McGuire, L. Morton, J. Tyndall,
M. Widhalm. 2013. Climate change beliefs, concerns, and attitudes toward adaptation and mitigation among
farmers in the Midwestern United States. Climatic Change Letters. Vol. 117 (4), pp. 943-950.
Prokopy, L., T. Haigh, A. Mase, J. Angel, C. Hart, C. Knutson, M. Lemos, Y. Lo, J. McGuire, L. Morton, J. Perron, D.
Todey, M. Widhalm. 2013. Agricultural Advisors: A Receptive Audience for Weather and Climate Information?
Weather, Climate, and Society, Vol. 5 (2): 162-167.
• Linking oceanic indices to multiple-year droughts and wet periods;
effects on ag production and water systems
• Center for Research on the Changing Earth System (Maryland); U.S.
Army Corp or Engineers; NOAA Climate Services; State of Montana
Questions: impacts of multiple-year drought and wet periods on ag
production and water systems; potential use of seasonal to multiple-year
climate outlooks for management activities (based on oceanic indices)
Methods: face to face interviews; 7 deliberate dialogue (workshops);
case studies (Kansas City; Great Falls, and Lincoln), basin-wide survey of
community water systems, and expert advisory panel
Mehta, V.M., N.J. Rosenberg, C.L. Knutson, J. R. Olsen, N.A. Wall, T.K. Bernadt, M.J. Hayes, 2013: Decadal Climate
Information Needs of Stakeholders for Decision Support in Water and Agriculture Production Sectors: A Case Study in
the Missouri River Basin. Weather, Climate, and Society, 5, 27-42.
Mehta, V.M., N.J. Rosenberg, and K. Mendoza, 2012: Simulated impacts of three decadal climate variability phenomena
on dryland corn and wheat yields in the Missouri River Basin. Agricultural and Forest Meteorology, 152, 109-124.
Mehta, V.M., N.J. Rosenberg, and K. Mendoza, 2011: Simulated impacts of three decadal climate variability phenomena
on water yields in the Missouri River Basin. Journal of the American Water Resources Association, 47, 126-135.
Decadal climate variability impacts,
management, and information needs in the
Missouri River Basin (2006-current)
Specific Tasks:
(1) develop retrospective drought and wet period scenarios
using statistical modeling of DCV indices and their
associations with hydro-meteorological variables in the
Basin
(2) conduct sectoral impact evaluations through use of the
Hydrologic Unit Model of the United States (HUMUS) and
the Erosion Productivity Impact Calculator (EPIC) driven by
the retrospective scenarios
(3) Gather impact information on recent drought and wet
periods and explore potential for developing future decadal
climate outlooks with stakeholders during three regional
workshops in Kansas City, MO; Helena, MT; and Lincoln, NE
Potential Applications of Decadal Climate Predictions
in Water and Agriculture Sectors in the Missouri River Basin
Cody L. Knutson1, Vikram M. Mehta2, Norman J. Rosenberg2, J. Rolf Olsen3, Nicole A. Wall1, Tonya K. Bernadt1, and Michael J. Hayes1
1 National Drought Mitigation Center, University of Nebraska – Lincoln, Nebraska
2 Center for Research on the Changing Earth System, Maryland
3 U. S. Army Corps of Engineers – Institute for Water Resources, Virginia
Introduction
At least three decadal climate
variability (DCV) phenomena -- the
Pacific Decadal Oscillation, the
tropical Atlantic sea-surface
temperature (SST) gradient
oscillation, and the west Pacific Warm
Pool SST variability -- significantly
impact the hydro-meteorology of the
Missouri River Basin.
From 2008-2010, the team assessed
the effects of these long-term sea
surface temperature phenomena on
water supplies and crop yields in the
Basin, along with the perceptions of
stakeholders about their DCV
information needs and the potential
applications of DCV outlooks in the
basin’s water and agriculture sectors.
Financial assistance for the study was
provided by the Sectoral Applications
Research Program, Climate Program
Office , U.S. Department of
Commerce, National Oceanic and
Atmospheric Administration.
Dr. Cody L. Knutson
NDMC, SNR, UNL
402-472-6718/ cknutson1@unl.edu
Gathering input from 90 representatives from agriculture, water and electric power utility,
transportation, natural resources and government sectors
Modeling Results:
Association of positive and negative phases of DCV phenomena with
streamflow in three sub-basins in the northern Missouri River Basin.
EPIC simulation of DCV impact
on spring wheat yields in the MRB
HUMUS-SWAT simulation of DCV
impact on water yield in the basin
Potential Applications of DCV Outlooks:
Agriculture: Guidance for future crop selection and cattle stocking rates,
appropriate land-use, irrigation development, pesticide and fertilizer
applications, and insurance coverage
Municipal water: Guidance for water infrastructure investments, water
uses and pricing, land use planning, and flood protection
River Management: Guidance for reservoir operations, barge
transportation viability, recreation and fisheries management
Energy (hydropower, coal, and nuclear): Guidance for infrastructure
development, fuel purchases, marketing, and effluent requirements
Summary of Findings:
• Substantial associations between hydro-meteorological anomalies
and PDO, TAG, and WPWP DCV patterns in the basin
• Need for climate and societal impacts information about decadal
droughts and wet periods
• Users beginning to think how they would use decadal climate and
impacts information, even the current phases of major DCV phenomena
• Many potential barriers to producing and using decadal climate outlooks,
but users eager to work with climate scientists
• Missouri River Basin a very important and ‘fertile’ region to sow seeds
of climate services, but sustained efforts required to build credibility
of climate science and scientists
Contact Information:
Predictability and Prediction of Decadal Climate and its Societal
Impacts in the Missouri River Basin: A Regional Study Integrating
Earth System, Hydrologic, Agricultural, Economic and Land Use
Models
• 2011-2014
• Center for Research on the Changing Earth System, Texas A&M University
Specific Objectives:
(1) assess simulations and hindcasts of two decadal climate variability (DCV) phenomena (PDO
and TAG) and their effects on the Basin's hydro-meteorology by global EaSMs (GEaSMs)
(2) downscale simulated and hindcast data from relatively coarse resolution GEaSMs to
relatively high resolution as input to water and crop yield models
(3) quantify decadal predictability of water and crop yields in the Basin, using downscaled
GEaSM data and HM observations-based DCV scenarios in HUMUS-SWAT model
(4) quantify value of adaptive actions given decadal predictions of water and crop yields in
terms of potential economic and other impacts, using FASOM and RIVERSIM models
(5) develop an experimental decadal climate and impacts prediction system for the Basin using
hydrologic, crop, and economic models; and downscaled data from GEaSMs, along with
DCV scenarios based on observed HM data; and assess their effectiveness via interactions
with stakeholders and policymakers.
Participatory modeling – Stakeholder advisory team/watershed stakeholders
Missouri sub-basin “Golden Triangle”
(north-central Montana)
Proposed: selection
of 1 or 2 watersheds
for detailed analysis to
develop credible
scenarios of future
DCV events for use in
contingency planning
(if-then scenarios)
Status of State Drought Planning in the U.S.
URL: http://www.drought.unl.edu/Planning/PlanningProcesses.aspx
NDMC 10-Step Drought Planning Process
• Created in 1990
• Revised in 2005
• Increased emphasis
on drought mitigation
• Monitoring and early warning system
– assess, communicate, and trigger action
– foundation of a drought mitigation plan
• Vulnerability assessment
– who and what is at risk and why?
• Mitigation and response actions
– actions/programs that reduce risk and impacts
and enhance recovery
Most processes and plans in the past focused on
monitoring and response
Essential Drought Plan Components
Ex) Nebraska Municipal Water Supply, Health,
and Energy Subcommittee
Drought Impact Ranking
1. Municipal water supply shortages
2. Rural water district mechanical problems
3. Private well water quantity and quality problems
4. Excessive irrigation pumping/aquifer conflicts
5. Mental anguish
6. Industrial users drawing down aquifers
7. Health problems from blowing dust
8. Temperature extremes/increased electrical
usage
Colorado Drought Mitigation and Response Plan
2010-2011
Prepared as Drought Annex to:
Colorado Natural Hazard Mitigation Plan and Emergency Operations Plan
Vulnerability Assessment
Inspiration:
Fontaine, M., and A.C. Steinemann. 2009. Assessing vulnerability to natural hazards: An
impact-based method and application to drought in Washington State. Natural Hazards
Review 10(1):11-18.
- Instream flows and hatcheries - highest impact scores are counties
with most junior water rights
Concluding thoughts…
• Our assessments are largely project-based; few basin-wide
• Several studies qualitative / some quantitative (or both)
• Progression toward more quantitative/integrated assessments
• Integration can be challenging
• Integrating models and perspectives
• obtaining data; identifying meaingful vulnerability metrics
• Some local resistance to climate change funding and
adaptation (e.g. grant proposals and farmer/advisor survey)
Cody Knutson
cknutson1@unl.edu
National Drought Mitigation Center
School of Natural Resources
University of Nebraska-Lincoln
Contact Information:
Risk Assessment Committee
Task 1: Conduct a Drought Impact Assessment
Task 2: Rank the Most Pressing Impacts
Task 3: Conduct a Vulnerability Assessment
- understand where and why impacts occur?
Task 4. Identify Risk Management Options
- actions to implement before, during, and after drought
Task 4. Prioritize Risk Management Options
- recommended actions based on criteria agreed to
Hawaii Water Supply Sector Vulnerability Colorado Agricultural Vulnerability
Takle et al., in prep.
Climate-based decision
calendar for corn
Drought Risk
Atlas (DRA): • Coming Soon!
• Set to launch in
spring 2012
• ~3000 stations
archived
• 139 clusters/regions
developed and
analyzed
• SPI, SPEI, PDSI, sc-
PDSI and Deciles
through 2010
• Weekly gridded maps
for all parameters
back to early 1900s
• Created to answer
questions about
the characteristics
of drought:
• Frequency/return
periods
• Duration
• Trends
• Intensity
• Spatial extent

Contenu connexe

Tendances

10. identifying systems for assessment a demo using food security
10. identifying systems for assessment a demo using food security10. identifying systems for assessment a demo using food security
10. identifying systems for assessment a demo using food securityNAP Events
 
12. analyzing climate change risks
12. analyzing climate change risks12. analyzing climate change risks
12. analyzing climate change risksNAP Events
 
Lake Ontario Basin Agriculture in the Coming Decades: Room for Expansion or I...
Lake Ontario Basin Agriculture in the Coming Decades: Room for Expansion or I...Lake Ontario Basin Agriculture in the Coming Decades: Room for Expansion or I...
Lake Ontario Basin Agriculture in the Coming Decades: Room for Expansion or I...National Institute of Food and Agriculture
 
Les recommandations du GIEC aux politiques
Les recommandations du GIEC aux politiquesLes recommandations du GIEC aux politiques
Les recommandations du GIEC aux politiquesPaperjam_redaction
 
Assessing climate risk and vulnerability
Assessing climate risk and vulnerabilityAssessing climate risk and vulnerability
Assessing climate risk and vulnerabilityNAP Events
 
Keisha Final Poster1
Keisha Final Poster1Keisha Final Poster1
Keisha Final Poster1Keisha Baxter
 
Albietz article in Tropical Resources Bulletin_2007
Albietz article in Tropical Resources Bulletin_2007Albietz article in Tropical Resources Bulletin_2007
Albietz article in Tropical Resources Bulletin_2007Jessica Albietz
 
Perception of Climate Change among Egyptians Living in Egypt and Canada 2.docx
Perception of Climate Change among Egyptians Living in Egypt and Canada 2.docxPerception of Climate Change among Egyptians Living in Egypt and Canada 2.docx
Perception of Climate Change among Egyptians Living in Egypt and Canada 2.docxTarek Zaki
 
ESS INTERNAL ASSESSMENT 2019-SURVEY & SIMPSON DIVERSITY
ESS INTERNAL ASSESSMENT 2019-SURVEY  & SIMPSON DIVERSITYESS INTERNAL ASSESSMENT 2019-SURVEY  & SIMPSON DIVERSITY
ESS INTERNAL ASSESSMENT 2019-SURVEY & SIMPSON DIVERSITYGURU CHARAN KUMAR
 
ESS IA 2019 -Simpsom Diversity
ESS IA  2019 -Simpsom DiversityESS IA  2019 -Simpsom Diversity
ESS IA 2019 -Simpsom DiversityGURU CHARAN KUMAR
 
Is stationarity dead whither water management
Is stationarity dead whither water managementIs stationarity dead whither water management
Is stationarity dead whither water managementDhiraj Gyawali
 
Evaluations of Stream Flow Response to Land use and Land Cover Changes in Wab...
Evaluations of Stream Flow Response to Land use and Land Cover Changes in Wab...Evaluations of Stream Flow Response to Land use and Land Cover Changes in Wab...
Evaluations of Stream Flow Response to Land use and Land Cover Changes in Wab...IJCMESJOURNAL
 
Climate Risk Vulnerability Assessment to Support Agricultural Resilience
Climate Risk Vulnerability Assessment to Support Agricultural ResilienceClimate Risk Vulnerability Assessment to Support Agricultural Resilience
Climate Risk Vulnerability Assessment to Support Agricultural ResilienceLeo Kris Palao
 
Factors Affecting Adoption of Nutrient Management Practices by Farmers and Ho...
Factors Affecting Adoption of Nutrient Management Practices by Farmers and Ho...Factors Affecting Adoption of Nutrient Management Practices by Farmers and Ho...
Factors Affecting Adoption of Nutrient Management Practices by Farmers and Ho...National Institute of Food and Agriculture
 
Advancing Climate-Adaptive Decision Tools To Reduce Nutrient Pollution From A...
Advancing Climate-Adaptive Decision Tools To Reduce Nutrient Pollution From A...Advancing Climate-Adaptive Decision Tools To Reduce Nutrient Pollution From A...
Advancing Climate-Adaptive Decision Tools To Reduce Nutrient Pollution From A...National Institute of Food and Agriculture
 

Tendances (20)

10. identifying systems for assessment a demo using food security
10. identifying systems for assessment a demo using food security10. identifying systems for assessment a demo using food security
10. identifying systems for assessment a demo using food security
 
12. analyzing climate change risks
12. analyzing climate change risks12. analyzing climate change risks
12. analyzing climate change risks
 
Joint GWP CEE/DMCSEE training: From Drought Management Strategies to Drought...
Joint GWP CEE/DMCSEE training: From Drought Management Strategies to  Drought...Joint GWP CEE/DMCSEE training: From Drought Management Strategies to  Drought...
Joint GWP CEE/DMCSEE training: From Drought Management Strategies to Drought...
 
Policy Brief 11
Policy Brief 11Policy Brief 11
Policy Brief 11
 
Lake Ontario Basin Agriculture in the Coming Decades: Room for Expansion or I...
Lake Ontario Basin Agriculture in the Coming Decades: Room for Expansion or I...Lake Ontario Basin Agriculture in the Coming Decades: Room for Expansion or I...
Lake Ontario Basin Agriculture in the Coming Decades: Room for Expansion or I...
 
Les recommandations du GIEC aux politiques
Les recommandations du GIEC aux politiquesLes recommandations du GIEC aux politiques
Les recommandations du GIEC aux politiques
 
Assessing climate risk and vulnerability
Assessing climate risk and vulnerabilityAssessing climate risk and vulnerability
Assessing climate risk and vulnerability
 
Keisha Final Poster1
Keisha Final Poster1Keisha Final Poster1
Keisha Final Poster1
 
Albietz article in Tropical Resources Bulletin_2007
Albietz article in Tropical Resources Bulletin_2007Albietz article in Tropical Resources Bulletin_2007
Albietz article in Tropical Resources Bulletin_2007
 
Perception of Climate Change among Egyptians Living in Egypt and Canada 2.docx
Perception of Climate Change among Egyptians Living in Egypt and Canada 2.docxPerception of Climate Change among Egyptians Living in Egypt and Canada 2.docx
Perception of Climate Change among Egyptians Living in Egypt and Canada 2.docx
 
ESS INTERNAL ASSESSMENT 2019-SURVEY & SIMPSON DIVERSITY
ESS INTERNAL ASSESSMENT 2019-SURVEY  & SIMPSON DIVERSITYESS INTERNAL ASSESSMENT 2019-SURVEY  & SIMPSON DIVERSITY
ESS INTERNAL ASSESSMENT 2019-SURVEY & SIMPSON DIVERSITY
 
ESS IA 2019 -Simpsom Diversity
ESS IA  2019 -Simpsom DiversityESS IA  2019 -Simpsom Diversity
ESS IA 2019 -Simpsom Diversity
 
Is stationarity dead whither water management
Is stationarity dead whither water managementIs stationarity dead whither water management
Is stationarity dead whither water management
 
A Collaborative Modeling Approach - Singletary
A Collaborative Modeling Approach - SingletaryA Collaborative Modeling Approach - Singletary
A Collaborative Modeling Approach - Singletary
 
Civil Engineering PhD
Civil Engineering PhDCivil Engineering PhD
Civil Engineering PhD
 
Evaluations of Stream Flow Response to Land use and Land Cover Changes in Wab...
Evaluations of Stream Flow Response to Land use and Land Cover Changes in Wab...Evaluations of Stream Flow Response to Land use and Land Cover Changes in Wab...
Evaluations of Stream Flow Response to Land use and Land Cover Changes in Wab...
 
Climate Risk Vulnerability Assessment to Support Agricultural Resilience
Climate Risk Vulnerability Assessment to Support Agricultural ResilienceClimate Risk Vulnerability Assessment to Support Agricultural Resilience
Climate Risk Vulnerability Assessment to Support Agricultural Resilience
 
Factors Affecting Adoption of Nutrient Management Practices by Farmers and Ho...
Factors Affecting Adoption of Nutrient Management Practices by Farmers and Ho...Factors Affecting Adoption of Nutrient Management Practices by Farmers and Ho...
Factors Affecting Adoption of Nutrient Management Practices by Farmers and Ho...
 
Advancing Climate-Adaptive Decision Tools To Reduce Nutrient Pollution From A...
Advancing Climate-Adaptive Decision Tools To Reduce Nutrient Pollution From A...Advancing Climate-Adaptive Decision Tools To Reduce Nutrient Pollution From A...
Advancing Climate-Adaptive Decision Tools To Reduce Nutrient Pollution From A...
 
What are the Mos Pressing Water Issues Facing the U.S.?
What are the Mos Pressing Water Issues Facing the U.S.?What are the Mos Pressing Water Issues Facing the U.S.?
What are the Mos Pressing Water Issues Facing the U.S.?
 

En vedette

Notesolution deck
Notesolution deckNotesolution deck
Notesolution deckJack Tai
 
Edu market pitch_v5_en
Edu market pitch_v5_enEdu market pitch_v5_en
Edu market pitch_v5_enizayniev
 
Diabetics Can Get Fit for Life with Professional Health Coaching
Diabetics Can Get Fit for Life with Professional Health CoachingDiabetics Can Get Fit for Life with Professional Health Coaching
Diabetics Can Get Fit for Life with Professional Health CoachingFit 4 Life Diabetes Coaching
 
Edu market v3_pre_inv_en
Edu market v3_pre_inv_enEdu market v3_pre_inv_en
Edu market v3_pre_inv_enizayniev
 
The Complete A to Z Guide to Recruiting Smart
The Complete A to Z Guide to Recruiting SmartThe Complete A to Z Guide to Recruiting Smart
The Complete A to Z Guide to Recruiting SmartThe Recruiting Division
 
Nonprofit Fundraising Workshop at Silicon Valley SCORE
Nonprofit Fundraising Workshop at Silicon Valley SCORE Nonprofit Fundraising Workshop at Silicon Valley SCORE
Nonprofit Fundraising Workshop at Silicon Valley SCORE YapperGirl
 
Edu marketv3 ru
Edu marketv3 ruEdu marketv3 ru
Edu marketv3 ruizayniev
 

En vedette (9)

Tema 18 dip. rhayner bastidas
Tema 18 dip. rhayner bastidasTema 18 dip. rhayner bastidas
Tema 18 dip. rhayner bastidas
 
La sonrisa
La sonrisaLa sonrisa
La sonrisa
 
Notesolution deck
Notesolution deckNotesolution deck
Notesolution deck
 
Edu market pitch_v5_en
Edu market pitch_v5_enEdu market pitch_v5_en
Edu market pitch_v5_en
 
Diabetics Can Get Fit for Life with Professional Health Coaching
Diabetics Can Get Fit for Life with Professional Health CoachingDiabetics Can Get Fit for Life with Professional Health Coaching
Diabetics Can Get Fit for Life with Professional Health Coaching
 
Edu market v3_pre_inv_en
Edu market v3_pre_inv_enEdu market v3_pre_inv_en
Edu market v3_pre_inv_en
 
The Complete A to Z Guide to Recruiting Smart
The Complete A to Z Guide to Recruiting SmartThe Complete A to Z Guide to Recruiting Smart
The Complete A to Z Guide to Recruiting Smart
 
Nonprofit Fundraising Workshop at Silicon Valley SCORE
Nonprofit Fundraising Workshop at Silicon Valley SCORE Nonprofit Fundraising Workshop at Silicon Valley SCORE
Nonprofit Fundraising Workshop at Silicon Valley SCORE
 
Edu marketv3 ru
Edu marketv3 ruEdu marketv3 ru
Edu marketv3 ru
 

Similaire à Ncrcsc fort collins knutson

Leveraging Environmental Observation Infrastructure for the Benefit of Society
Leveraging Environmental Observation Infrastructure for the Benefit of SocietyLeveraging Environmental Observation Infrastructure for the Benefit of Society
Leveraging Environmental Observation Infrastructure for the Benefit of SocietyBrian Wee
 
Geography_optional_2024_mains_-_DAWP_and_test_series_schedule.pdf
Geography_optional_2024_mains_-_DAWP_and_test_series_schedule.pdfGeography_optional_2024_mains_-_DAWP_and_test_series_schedule.pdf
Geography_optional_2024_mains_-_DAWP_and_test_series_schedule.pdfAnkitDwivedi658363
 
Integrated Plan for Drought Preparedness and Mitigation, and Water Conservati...
Integrated Plan for Drought Preparedness and Mitigation, and Water Conservati...Integrated Plan for Drought Preparedness and Mitigation, and Water Conservati...
Integrated Plan for Drought Preparedness and Mitigation, and Water Conservati...National Institute of Food and Agriculture
 
Physics Based Predictive Modeling for Integrated Agricultural and Examination...
Physics Based Predictive Modeling for Integrated Agricultural and Examination...Physics Based Predictive Modeling for Integrated Agricultural and Examination...
Physics Based Predictive Modeling for Integrated Agricultural and Examination...National Institute of Food and Agriculture
 
The National Water Census
The National Water CensusThe National Water Census
The National Water CensusKim Beidler
 
Stakeholder engagement in the Dee Basin
Stakeholder engagement in the Dee BasinStakeholder engagement in the Dee Basin
Stakeholder engagement in the Dee BasinWorld Water Day
 
CSCAP-USB Partnership Report 2013
CSCAP-USB Partnership Report 2013CSCAP-USB Partnership Report 2013
CSCAP-USB Partnership Report 2013Gabrielle Glenister
 
Petes 2014 science integration into us climate and ocean policy discussion
Petes 2014 science integration into us climate and ocean policy discussionPetes 2014 science integration into us climate and ocean policy discussion
Petes 2014 science integration into us climate and ocean policy discussionLoretta Roberson
 

Similaire à Ncrcsc fort collins knutson (20)

Leveraging Environmental Observation Infrastructure for the Benefit of Society
Leveraging Environmental Observation Infrastructure for the Benefit of SocietyLeveraging Environmental Observation Infrastructure for the Benefit of Society
Leveraging Environmental Observation Infrastructure for the Benefit of Society
 
Geography_optional_2024_mains_-_DAWP_and_test_series_schedule.pdf
Geography_optional_2024_mains_-_DAWP_and_test_series_schedule.pdfGeography_optional_2024_mains_-_DAWP_and_test_series_schedule.pdf
Geography_optional_2024_mains_-_DAWP_and_test_series_schedule.pdf
 
Climate Change Adaption Planning & MA Policy Updates
Climate Change Adaption Planning & MA Policy UpdatesClimate Change Adaption Planning & MA Policy Updates
Climate Change Adaption Planning & MA Policy Updates
 
Poster Template 24x18
Poster Template 24x18Poster Template 24x18
Poster Template 24x18
 
Integrated Plan for Drought Preparedness and Mitigation, and Water Conservati...
Integrated Plan for Drought Preparedness and Mitigation, and Water Conservati...Integrated Plan for Drought Preparedness and Mitigation, and Water Conservati...
Integrated Plan for Drought Preparedness and Mitigation, and Water Conservati...
 
Resilience in the dollar desert nelson
Resilience in the dollar desert   nelsonResilience in the dollar desert   nelson
Resilience in the dollar desert nelson
 
Physics Based Predictive Modeling for Integrated Agricultural and Examination...
Physics Based Predictive Modeling for Integrated Agricultural and Examination...Physics Based Predictive Modeling for Integrated Agricultural and Examination...
Physics Based Predictive Modeling for Integrated Agricultural and Examination...
 
NASA - NACD Panel 20220718 (1).pptx
NASA - NACD Panel 20220718 (1).pptxNASA - NACD Panel 20220718 (1).pptx
NASA - NACD Panel 20220718 (1).pptx
 
EXPO_Palmer_A
EXPO_Palmer_AEXPO_Palmer_A
EXPO_Palmer_A
 
Moss-3dec2002
Moss-3dec2002Moss-3dec2002
Moss-3dec2002
 
Moss-3dec2002
Moss-3dec2002Moss-3dec2002
Moss-3dec2002
 
Adapting to Climate Change in Northeastern Freshwater Ecosystems
Adapting to Climate Change in Northeastern Freshwater EcosystemsAdapting to Climate Change in Northeastern Freshwater Ecosystems
Adapting to Climate Change in Northeastern Freshwater Ecosystems
 
The National Water Census
The National Water CensusThe National Water Census
The National Water Census
 
Workshop 1 - Molly Woloszyn
Workshop 1 - Molly WoloszynWorkshop 1 - Molly Woloszyn
Workshop 1 - Molly Woloszyn
 
Climate Collaboration WS - Molly Woloszyn
Climate Collaboration WS - Molly WoloszynClimate Collaboration WS - Molly Woloszyn
Climate Collaboration WS - Molly Woloszyn
 
Stakeholder engagement in the Dee Basin
Stakeholder engagement in the Dee BasinStakeholder engagement in the Dee Basin
Stakeholder engagement in the Dee Basin
 
Flood Evaluation, Livelihood Implications and Adaptation Measures in Sri Lanka
Flood Evaluation, Livelihood Implications and Adaptation Measures in Sri LankaFlood Evaluation, Livelihood Implications and Adaptation Measures in Sri Lanka
Flood Evaluation, Livelihood Implications and Adaptation Measures in Sri Lanka
 
CSCAP-USB Partnership Report 2013
CSCAP-USB Partnership Report 2013CSCAP-USB Partnership Report 2013
CSCAP-USB Partnership Report 2013
 
July 29-330-Michael Margo
July 29-330-Michael MargoJuly 29-330-Michael Margo
July 29-330-Michael Margo
 
Petes 2014 science integration into us climate and ocean policy discussion
Petes 2014 science integration into us climate and ocean policy discussionPetes 2014 science integration into us climate and ocean policy discussion
Petes 2014 science integration into us climate and ocean policy discussion
 

Plus de NC_CSC

Mc neeleynaf april32013_4.1.13
Mc neeleynaf april32013_4.1.13Mc neeleynaf april32013_4.1.13
Mc neeleynaf april32013_4.1.13NC_CSC
 
Hdcc adaptation forum 2013 (rudy)
Hdcc adaptation forum 2013 (rudy)Hdcc adaptation forum 2013 (rudy)
Hdcc adaptation forum 2013 (rudy)NC_CSC
 
Tang nccsc 2013 04 05
Tang nccsc 2013 04 05Tang nccsc 2013 04 05
Tang nccsc 2013 04 05NC_CSC
 
Mc neeleyadmwg april52013_4.5.13
Mc neeleyadmwg april52013_4.5.13Mc neeleyadmwg april52013_4.5.13
Mc neeleyadmwg april52013_4.5.13NC_CSC
 
Dilling nccsc april 5 2013
Dilling nccsc april 5 2013Dilling nccsc april 5 2013
Dilling nccsc april 5 2013NC_CSC
 
Williams nccsc adaption workshop
Williams nccsc adaption workshopWilliams nccsc adaption workshop
Williams nccsc adaption workshopNC_CSC
 

Plus de NC_CSC (6)

Mc neeleynaf april32013_4.1.13
Mc neeleynaf april32013_4.1.13Mc neeleynaf april32013_4.1.13
Mc neeleynaf april32013_4.1.13
 
Hdcc adaptation forum 2013 (rudy)
Hdcc adaptation forum 2013 (rudy)Hdcc adaptation forum 2013 (rudy)
Hdcc adaptation forum 2013 (rudy)
 
Tang nccsc 2013 04 05
Tang nccsc 2013 04 05Tang nccsc 2013 04 05
Tang nccsc 2013 04 05
 
Mc neeleyadmwg april52013_4.5.13
Mc neeleyadmwg april52013_4.5.13Mc neeleyadmwg april52013_4.5.13
Mc neeleyadmwg april52013_4.5.13
 
Dilling nccsc april 5 2013
Dilling nccsc april 5 2013Dilling nccsc april 5 2013
Dilling nccsc april 5 2013
 
Williams nccsc adaption workshop
Williams nccsc adaption workshopWilliams nccsc adaption workshop
Williams nccsc adaption workshop
 

Dernier

Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxLoriGlavin3
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfLoriGlavin3
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxLoriGlavin3
 
What is Artificial Intelligence?????????
What is Artificial Intelligence?????????What is Artificial Intelligence?????????
What is Artificial Intelligence?????????blackmambaettijean
 
unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxBkGupta21
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Manik S Magar
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxLoriGlavin3
 
A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersNicole Novielli
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfMounikaPolabathina
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 

Dernier (20)

Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptx
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdf
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
 
What is Artificial Intelligence?????????
What is Artificial Intelligence?????????What is Artificial Intelligence?????????
What is Artificial Intelligence?????????
 
unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptx
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
 
A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software Developers
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdf
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 

Ncrcsc fort collins knutson

  • 1. National Drought Mitigation Center Overview of Drought Vulnerability Research and Planning in the North Central Region Dr. Cody L. Knutson National Drought Mitigation Center School of Natural Resources University of Nebraska-Lincoln cknutson1@unl.edu “End-to-End”: research-applications-operations-outreach-service continuum working with users…
  • 2. NDMC Drought and Impact Monitoring
  • 3. NDMC Planning and Social Science Program Area Vulnerability Assessment and Planning Farmers/ranchers - Communities - Watersheds - States • Questions: sustainable farmer and holistic rancher’s definitions of sustainability; effects of 2002-2004 drought; response/adaptation strategies implemented; use of weather and climate information; barriers to drought risk reduction and use of weather/climate information • Methods: mail survey and 48 face-to-face interviews Knutson, C.L., T. Haigh, M. Hayes, M. Widlham, J. Nothwehr, and M. Kleinschmidt (2011) Farmer Perceptions of Sustainable Agriculture Practices and Drought Risk Reduction in Nebraska, USA, Journal of Renewable Agriculture and Food Systems, 26(3): 255-266 Sustainable Adaptations to Drought and Climate Variability in Agricultural Production Systems Across Nebraska (2004-2006;UNL collaborators)
  • 4. Drought Risk Management on the Ranch Great Plains focus (2006-2012) Ranchers; UNL/SDSU Extension; NRCS Questions: effects of drought on ranch operations in the Great Plains, drought management strategies; drought plan and process, and recommendations Methods: 21 telephone interviews with rancher/advisors involved in drought planning; deliberate dialogue (workshop); case studies, and advisor input Managing Drought Risk on the Ranch website: http://drought.unl.edu/ranchplan/Overview.aspx Haigh, T., and C. Knutson, Role of Perceived Control and Planning in Ranch Drought Preparedness, Great Plains Research, in press Knutson, C. L., and T. Haigh, 2013. A Drought Planning Methodology for Ranchers in the Great Plains, Rangelands. Vol. 35 (1), pp. 27-33.
  • 5. Combining Climate Science and Social Science to Develop Decision Support Tools for Corn Producers and Advisors (2011-2016) Linda Stalker Prokopy, PhD U2U Project Director, Associate Professor Purdue University 5
  • 7. U.S. CORN BELT • Nearly one-third of global supply • Over $50B to US economy
  • 8. CurrentWork • Model the impact of climate and farm management on crop productivity and profits – Using past and future climate scenarios • Understand beliefs and concerns about climate change and willingness to use climate information – Surveys and focus groups (also network analysis) Models and Data Stakeholder Input Decision Support Tools
  • 9. CropModelingandDataAnalysis • Develop an ensemble of crop models on a 4-km grid, Midwest – DSSAT, Hybrid-Maize, ISAM – Range of agronomic outcomes for various climate scenarios (past & future) • Impact of climate and management on productivity and profits – Agroclimatic trends analysis (1900-2011) – Regional ENSO analysis – NASS ‘field work days’ climatology – trends, patterns, future scenarios – Effects of crop mix, climate, etc. on capital investment decisions (case studies) Objective 1: What are the contributions of anomalous weather to crop variability and implications for future management options?
  • 10. Producer Survey • CS-CAP partnership • Mail survey of +19,000 farmers • 22 HUC6 watersheds, 60% of US corn production • Data joined to NASS Ag Census Advisor Survey • Web-based survey of 8,000+ advisors – All advisors in pilot states, Extension in 12 states • Crop consultants, Extension, bankers/lawyers, agro-business, state and federal, crop associations, etc. ClimateNeedsAssessment Surveys
  • 11. SurveyQuestion Topics • Type and timing of farm management strategies • Influence and use of weather/climate information • Climate change concerns and beliefs • Risk management strategies, roles, responsibilities • Influential information sources Arbuckle, J., L. Prokopy, T. Haigh, J. Hobs, T. Knoot, C. Knutson, A. Loy, A. Mase, J. McGuire, L. Morton, J. Tyndall, M. Widhalm. 2013. Climate change beliefs, concerns, and attitudes toward adaptation and mitigation among farmers in the Midwestern United States. Climatic Change Letters. Vol. 117 (4), pp. 943-950. Prokopy, L., T. Haigh, A. Mase, J. Angel, C. Hart, C. Knutson, M. Lemos, Y. Lo, J. McGuire, L. Morton, J. Perron, D. Todey, M. Widhalm. 2013. Agricultural Advisors: A Receptive Audience for Weather and Climate Information? Weather, Climate, and Society, Vol. 5 (2): 162-167.
  • 12. • Linking oceanic indices to multiple-year droughts and wet periods; effects on ag production and water systems • Center for Research on the Changing Earth System (Maryland); U.S. Army Corp or Engineers; NOAA Climate Services; State of Montana Questions: impacts of multiple-year drought and wet periods on ag production and water systems; potential use of seasonal to multiple-year climate outlooks for management activities (based on oceanic indices) Methods: face to face interviews; 7 deliberate dialogue (workshops); case studies (Kansas City; Great Falls, and Lincoln), basin-wide survey of community water systems, and expert advisory panel Mehta, V.M., N.J. Rosenberg, C.L. Knutson, J. R. Olsen, N.A. Wall, T.K. Bernadt, M.J. Hayes, 2013: Decadal Climate Information Needs of Stakeholders for Decision Support in Water and Agriculture Production Sectors: A Case Study in the Missouri River Basin. Weather, Climate, and Society, 5, 27-42. Mehta, V.M., N.J. Rosenberg, and K. Mendoza, 2012: Simulated impacts of three decadal climate variability phenomena on dryland corn and wheat yields in the Missouri River Basin. Agricultural and Forest Meteorology, 152, 109-124. Mehta, V.M., N.J. Rosenberg, and K. Mendoza, 2011: Simulated impacts of three decadal climate variability phenomena on water yields in the Missouri River Basin. Journal of the American Water Resources Association, 47, 126-135. Decadal climate variability impacts, management, and information needs in the Missouri River Basin (2006-current)
  • 13. Specific Tasks: (1) develop retrospective drought and wet period scenarios using statistical modeling of DCV indices and their associations with hydro-meteorological variables in the Basin (2) conduct sectoral impact evaluations through use of the Hydrologic Unit Model of the United States (HUMUS) and the Erosion Productivity Impact Calculator (EPIC) driven by the retrospective scenarios (3) Gather impact information on recent drought and wet periods and explore potential for developing future decadal climate outlooks with stakeholders during three regional workshops in Kansas City, MO; Helena, MT; and Lincoln, NE Potential Applications of Decadal Climate Predictions in Water and Agriculture Sectors in the Missouri River Basin Cody L. Knutson1, Vikram M. Mehta2, Norman J. Rosenberg2, J. Rolf Olsen3, Nicole A. Wall1, Tonya K. Bernadt1, and Michael J. Hayes1 1 National Drought Mitigation Center, University of Nebraska – Lincoln, Nebraska 2 Center for Research on the Changing Earth System, Maryland 3 U. S. Army Corps of Engineers – Institute for Water Resources, Virginia Introduction At least three decadal climate variability (DCV) phenomena -- the Pacific Decadal Oscillation, the tropical Atlantic sea-surface temperature (SST) gradient oscillation, and the west Pacific Warm Pool SST variability -- significantly impact the hydro-meteorology of the Missouri River Basin. From 2008-2010, the team assessed the effects of these long-term sea surface temperature phenomena on water supplies and crop yields in the Basin, along with the perceptions of stakeholders about their DCV information needs and the potential applications of DCV outlooks in the basin’s water and agriculture sectors. Financial assistance for the study was provided by the Sectoral Applications Research Program, Climate Program Office , U.S. Department of Commerce, National Oceanic and Atmospheric Administration. Dr. Cody L. Knutson NDMC, SNR, UNL 402-472-6718/ cknutson1@unl.edu Gathering input from 90 representatives from agriculture, water and electric power utility, transportation, natural resources and government sectors Modeling Results: Association of positive and negative phases of DCV phenomena with streamflow in three sub-basins in the northern Missouri River Basin. EPIC simulation of DCV impact on spring wheat yields in the MRB HUMUS-SWAT simulation of DCV impact on water yield in the basin Potential Applications of DCV Outlooks: Agriculture: Guidance for future crop selection and cattle stocking rates, appropriate land-use, irrigation development, pesticide and fertilizer applications, and insurance coverage Municipal water: Guidance for water infrastructure investments, water uses and pricing, land use planning, and flood protection River Management: Guidance for reservoir operations, barge transportation viability, recreation and fisheries management Energy (hydropower, coal, and nuclear): Guidance for infrastructure development, fuel purchases, marketing, and effluent requirements Summary of Findings: • Substantial associations between hydro-meteorological anomalies and PDO, TAG, and WPWP DCV patterns in the basin • Need for climate and societal impacts information about decadal droughts and wet periods • Users beginning to think how they would use decadal climate and impacts information, even the current phases of major DCV phenomena • Many potential barriers to producing and using decadal climate outlooks, but users eager to work with climate scientists • Missouri River Basin a very important and ‘fertile’ region to sow seeds of climate services, but sustained efforts required to build credibility of climate science and scientists Contact Information:
  • 14. Predictability and Prediction of Decadal Climate and its Societal Impacts in the Missouri River Basin: A Regional Study Integrating Earth System, Hydrologic, Agricultural, Economic and Land Use Models • 2011-2014 • Center for Research on the Changing Earth System, Texas A&M University Specific Objectives: (1) assess simulations and hindcasts of two decadal climate variability (DCV) phenomena (PDO and TAG) and their effects on the Basin's hydro-meteorology by global EaSMs (GEaSMs) (2) downscale simulated and hindcast data from relatively coarse resolution GEaSMs to relatively high resolution as input to water and crop yield models (3) quantify decadal predictability of water and crop yields in the Basin, using downscaled GEaSM data and HM observations-based DCV scenarios in HUMUS-SWAT model (4) quantify value of adaptive actions given decadal predictions of water and crop yields in terms of potential economic and other impacts, using FASOM and RIVERSIM models (5) develop an experimental decadal climate and impacts prediction system for the Basin using hydrologic, crop, and economic models; and downscaled data from GEaSMs, along with DCV scenarios based on observed HM data; and assess their effectiveness via interactions with stakeholders and policymakers.
  • 15. Participatory modeling – Stakeholder advisory team/watershed stakeholders
  • 16. Missouri sub-basin “Golden Triangle” (north-central Montana) Proposed: selection of 1 or 2 watersheds for detailed analysis to develop credible scenarios of future DCV events for use in contingency planning (if-then scenarios)
  • 17. Status of State Drought Planning in the U.S.
  • 18. URL: http://www.drought.unl.edu/Planning/PlanningProcesses.aspx NDMC 10-Step Drought Planning Process • Created in 1990 • Revised in 2005 • Increased emphasis on drought mitigation
  • 19. • Monitoring and early warning system – assess, communicate, and trigger action – foundation of a drought mitigation plan • Vulnerability assessment – who and what is at risk and why? • Mitigation and response actions – actions/programs that reduce risk and impacts and enhance recovery Most processes and plans in the past focused on monitoring and response Essential Drought Plan Components
  • 20. Ex) Nebraska Municipal Water Supply, Health, and Energy Subcommittee Drought Impact Ranking 1. Municipal water supply shortages 2. Rural water district mechanical problems 3. Private well water quantity and quality problems 4. Excessive irrigation pumping/aquifer conflicts 5. Mental anguish 6. Industrial users drawing down aquifers 7. Health problems from blowing dust 8. Temperature extremes/increased electrical usage
  • 21. Colorado Drought Mitigation and Response Plan 2010-2011 Prepared as Drought Annex to: Colorado Natural Hazard Mitigation Plan and Emergency Operations Plan Vulnerability Assessment
  • 22.
  • 23. Inspiration: Fontaine, M., and A.C. Steinemann. 2009. Assessing vulnerability to natural hazards: An impact-based method and application to drought in Washington State. Natural Hazards Review 10(1):11-18.
  • 24. - Instream flows and hatcheries - highest impact scores are counties with most junior water rights
  • 25. Concluding thoughts… • Our assessments are largely project-based; few basin-wide • Several studies qualitative / some quantitative (or both) • Progression toward more quantitative/integrated assessments • Integration can be challenging • Integrating models and perspectives • obtaining data; identifying meaingful vulnerability metrics • Some local resistance to climate change funding and adaptation (e.g. grant proposals and farmer/advisor survey)
  • 26. Cody Knutson cknutson1@unl.edu National Drought Mitigation Center School of Natural Resources University of Nebraska-Lincoln Contact Information:
  • 27. Risk Assessment Committee Task 1: Conduct a Drought Impact Assessment Task 2: Rank the Most Pressing Impacts Task 3: Conduct a Vulnerability Assessment - understand where and why impacts occur? Task 4. Identify Risk Management Options - actions to implement before, during, and after drought Task 4. Prioritize Risk Management Options - recommended actions based on criteria agreed to Hawaii Water Supply Sector Vulnerability Colorado Agricultural Vulnerability
  • 28. Takle et al., in prep. Climate-based decision calendar for corn
  • 29. Drought Risk Atlas (DRA): • Coming Soon! • Set to launch in spring 2012 • ~3000 stations archived • 139 clusters/regions developed and analyzed • SPI, SPEI, PDSI, sc- PDSI and Deciles through 2010 • Weekly gridded maps for all parameters back to early 1900s • Created to answer questions about the characteristics of drought: • Frequency/return periods • Duration • Trends • Intensity • Spatial extent