bioearth: a regional-scale earth system model to …...decision making by water managers and...

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BioEarth: A Regional-Scale Earth System Model to Inform Land and Water Management Decisions Jennifer Adam 1 , Kirti Rajagopalan 1 , Claudio Stöckle 1 , Chad Kruger 1 , Michael Brady 1 , Michael Barber 1 , Kiran Chinnayakanahalli 7 , Georgine Yorgey 1 , Roger Nelson 1 , Shifa Dinesh 1 , Keyvan Malek 1 , Jon Yoder 1 , Serena Chung 1 , Joe Vaughan 1 , Fok-Yan Leung 1 , Brian K. Lamb 1 , R. Dave Evans 1 , John Harrison 1 , Jennie Stephens 5 , Alex Guenther 3 , Ananth Kalyanaraman 1 , L. Ruby Leung 4 , Mingliang Liu 1 , Christina Tague 6 , Andy Perleberg 1 , Yong Chen 2 , Todd Norton 1 , Xiaoyan Jiang 3 , Jun Zhu 6 (1) Washington State U., (2) Oregon State U., (3) NCAR, (4) PNNL, (5) Clark U., (6) U. of California, Santa Barbara, (7) Air-Worldwide ABSTRACT Example Results: The Columbia River Basin (CRB) Water Supply and Demand Forecast for Year 2030 Example Results: The Columbia River Basin (CRB) Water Supply and Demand Forecast for Year 2030 ABSTRACT For better management in the face of climate change, Earth system models must explicitly account for natural resource and agricultural management activities. Including cropping systems, water management, and economic models into an Earth system modeling framework can help in answering questions related to the impacts of climate change on water resource availability, water demand, crop productivity, and environmental impacts. Herein we describe example results from integrated modeling efforts over the Pacific Northwest (PNW) region. Results were designed with the intent to inform decision making by water managers and agricultural producers, the utility for whom is enhanced through stakeholder input throughout model development. Over the PNW region, temperature is projected to rise between 1-5 o C with the greatest warming in the summer; while precipitation seasonality changes will result in even wetter winters and drier summers, with little certainty as to changes in annual precipitation (Mote and Salathe 2010). These changes will diminish surface water availability during the growing season and increase irrigation water demand, with negative consequences for irrigated agriculture (Elsner et al The Biosphere-relevant Earth System Model (BioEarth) http://www.cereo.wsu.edu/bioearth/ Motivation: The 21st Century’s Grand Challenges include understanding how changes in the balance of nutrients -- carbon, oxygen, hydrogen, nitrogen, sulfur, and phosphorus -- in soil, water, and air affect the functioning of ecosystems, atmospheric chemistry, and human health. Objective: To improve the understanding of regional and decadal-scale C:N:H 2 O interactions in context of global change to better inform decision makers involved in natural and agricultural resource management, we are developing a new earth system modeling framework that will explicitly consequences for irrigated agriculture (Elsner et al. 2010; Vano et al. 2010). We applied an integrated modeling framework (1. coupled hydrology and cropping systems model, 2. reservoir and water curtailment model, and 3. economics model) to study future water supply and irrigation water demand over the CRB for improved water resources management. Annual supply increased by ~3% in annual surface water supply. However, supply seasonality shifted (-14% during the irrigation address N and C flows in the context of decadal climate variability . The framework includes atmospheric models (for meteorology and atmospheric chemistry), land surface models (for hydrology, cropping systems, and biogeochemical cycling), aquatic models (for reservoir operations and nutrient export in rivers), and economic models. Yakima River Basin Supply and Demand Historical Application over the area’s most water-stressed system (the Yakima River basin in central Washington State) shows an increase in unmet season and +18 in winter). Irrigation water demand increased by ~4%. With the change in crop mix due to economics, this increase is reduced to ~2%. Future irrigation demand by an average of 50% by 2030 (see figure at right), causing increased water stress in an already stressed system. The frequency of water rights curtailment also increases by 50%. Climate change also impacts crop yields (Stockle et al. 2010), as follows: Precipitation – mostly positive for non-irrigated crops Warming – mostly negative CO2 Enrichment positive effect on CO2 Enrichment positive effect on C3 crops Dryland Crops Impacts of Climate Change, CO 2 Enrichment, and Economics on Washington State Crop Yields Irrigated Crops BioEarth Collaborators Link to report: http://www.ecy.wa.gov/programs/wr/cwp/crwmp.html Funding Sources

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Page 1: BioEarth: A Regional-Scale Earth System Model to …...decision making by water managers and agricultural producers, the utility for whom is enhanced through stakeholder input throughout

BioEarth: A Regional-Scale Earth System Model to InformLand and Water Management Decisions

Jennifer Adam1, Kirti Rajagopalan1, Claudio Stöckle1, Chad Kruger1, Michael Brady1, Michael Barber1, Kiran Chinnayakanahalli7, Georgine Yorgey1, Roger Nelson1, Shifa Dinesh1, Keyvan Malek1, Jon Yoder1, Serena Chung1, Joe Vaughan1, Fok-Yan Leung1, Brian K. Lamb1, R. Dave Evans1,

John Harrison1, Jennie Stephens5, Alex Guenther3, Ananth Kalyanaraman1, L. Ruby Leung4, Mingliang Liu1, Christina Tague6, Andy Perleberg1, Yong Chen2, Todd Norton1, Xiaoyan Jiang3, Jun Zhu6

(1) Washington State U., (2) Oregon State U., (3) NCAR, (4) PNNL, (5) Clark U., (6) U. of California, Santa Barbara, (7) Air-Worldwide

ABSTRACT

Example Results: The Columbia River Basin (CRB) Water Supply and Demand Forecast for Year 2030

Example Results: The Columbia River Basin (CRB) Water Supply and Demand Forecast for Year 2030

ABSTRACTFor better management in the face of climate change, Earth system modelsmust explicitly account for natural resource and agricultural managementactivities. Including cropping systems, water management, and economicmodels into an Earth system modeling framework can help in answeringquestions related to the impacts of climate change on water resourceavailability, water demand, crop productivity, and environmental impacts. Hereinwe describe example results from integrated modeling efforts over the PacificNorthwest (PNW) region. Results were designed with the intent to informdecision making by water managers and agricultural producers, the utility forwhom is enhanced through stakeholder input throughout model development.

Over the PNW region, temperature is projected to risebetween 1-5oC with the greatest warming in thesummer; while precipitation seasonality changes willresult in even wetter winters and drier summers, withlittle certainty as to changes in annual precipitation(Mote and Salathe 2010). These changes will diminishsurface water availability during the growing seasonand increase irrigation water demand, with negativeconsequences for irrigated agriculture (Elsner et al

The Biosphere-relevant Earth System Model (BioEarth) http://www.cereo.wsu.edu/bioearth/

Motivation: The 21st Century’s Grand Challenges include understandinghow changes in the balance of nutrients -- carbon, oxygen, hydrogen,nitrogen, sulfur, and phosphorus -- in soil, water, and air affect thefunctioning of ecosystems, atmospheric chemistry, and human health.

Objective: To improve the understanding of regional and decadal-scaleC:N:H2O interactions in context of global change to better inform decisionmakers involved in natural and agricultural resource management, we aredeveloping a new earth system modeling framework that will explicitly

consequences for irrigated agriculture (Elsner et al.2010; Vano et al. 2010). We applied an integratedmodeling framework (1. coupled hydrology andcropping systems model, 2. reservoir and watercurtailment model, and 3. economics model) to studyfuture water supply and irrigation water demand overthe CRB for improved water resources management.

Annual supply increased by ~3% in annual surface water supply. However, supply seasonality shifted (-14% during the irrigation

address N and C flows in the context of decadal climate variability. Theframework includes atmospheric models (for meteorology and atmosphericchemistry), land surface models (for hydrology, cropping systems, andbiogeochemical cycling), aquatic models (for reservoir operations andnutrient export in rivers), and economic models.

Yakima River Basin Supply and Demand

Historical

Application over the area’s mostwater-stressed system (the YakimaRiver basin in central WashingtonState) shows an increase in unmet

g gseason and +18 in winter).

Irrigation water demand increased by ~4%. With the change in crop mix due to economics, this increase is reduced to ~2%.

Future

S a e) s o s a c ease u eirrigation demand by an average of50% by 2030 (see figure at right),causing increased water stress in analready stressed system. Thefrequency of water rights curtailmentalso increases by 50%.

Climate change also impacts cropyields (Stockle et al. 2010), as follows:Precipitation – mostly positive fornon-irrigated cropsWarming – mostly negativeCO2 Enrichment – positive effect onCO2 Enrichment positive effect onC3 crops

DrylandCrops

Impacts of Climate Change, CO2 Enrichment, and Economics on Washington State Crop Yields

Irrigated Crops

BioEarth Collaborators

Link to report: http://www.ecy.wa.gov/programs/wr/cwp/crwmp.html

Funding Sources