Alex Guenther National Center for Atmospheric Research Regional Earth System Modeling and Analysis Symposium Beijing, China May 20, 2011 P ROGRESS TOWARDS.

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Presentation transcript:

Alex Guenther National Center for Atmospheric Research Regional Earth System Modeling and Analysis Symposium Beijing, China May 20, 2011 P ROGRESS TOWARDS E ARTH S YSTEM M ODELING OF THE P ACIFIC N ORTHWEST R EGION

A NEW E ARTH S YSTEM M ODEL

G OAL AND O BJECTIVES Overarching Goal: 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. Specific Objectives: 1. Air to Land Linkage: To investigate the role that atmospheric processes play in land surface C:N:H 2 O cycles. 2. Coupled Air/Land: To explore how ecosystem changes in the PNW affect land/atmosphere interactions. 3. Coupled Air/Land/Human: To examine how potential policy changes might affect the interactions between C:N:H 2 O cycles and regional-scale climate. 4. Communication: To explore how to best communicate the model results to resource managers and policy makers.

O UTREACH AND C OMMUNICATIONS R ESEARCH  WSU Extension will hold two meetings per year (for four years) with stakeholders in  Agriculture  Forestry  Tribes  Communications research question: How does regular interaction between BioEarth developers and land-use stakeholders influence the perceived relevance and perceived utility of a model to decision-making?

B IO E ARTH VERSUS CESM BioEarthCESM Regional scale: Pacific Northwest (uses a GCM for boundary conditions) Global Scale (no boundary problems) Finer Spatial ResolutionCoarser Spatial Resolution No Ocean, sea ice, or glaciersHas ocean, sea ice, glaciers Some components more sophisticatedSome components necessarily less sophisticated *More explicit handling of human activities: cropping systems (irrigation, tillage, fertilization), forest management, reservoir operations *Integrated economic modeling; can be used for policy scenario investigation *Model outputs more directly relevant for local scale planning/decision making/informing policy Less explicit handling of human activities

B IO E ARTH

M ODELING D OMAIN : T HE P ACIFIC N ORTHWEST

C ONTRIBUTING F ACULTY Modeling TeamEarth System Component Jennifer Adam, WSUTerrestrial/Aquatic Serena Chung, WSUAtmospheric Alex Guenther, NCARAtmospheric/Terrestrial John Harrison, WSUTerrestrial/Aquatic Brian Lamb, WSUAtmospheric Ruby Leung, PNNLAtmospheric/Terrestrial Claudio Stockle, WSUTerrestrial Christina Tague, UCSBTerrestrial/Aquatic Joe Vaughan, WSUAtmospheric

C ONTRIBUTING F ACULTY Economics Team Michael Brady, WSU Yong Chen, OSU Jon Yoder, WSU Cyberinfrastructure Team Ananth Kalyanaraman, WSU Joe Vaughan, WSU Outreach/Education Team Chad Kruger, WSU Fok Leung, WSU Andy Perleberg, WSU Jennie Stephens, Clark U. Ecology Team Dave Evans, WSU John Harrison, WSU Christina Tague, UCSB

F OUNDATIONAL P ROJECT : L INKAGES BETWEEN ATMOSPHERIC CHEMISTRY AND TERRESTRIAL BIOGEOCHEMICAL CYCLING

B IO E ARTH CMAQ: for atmospheric chemistry RHESSys: for vegetation processes and biogeochemical cycling in forests/grasslands

R EACTIVE N ITROGEN (N) AND G LOBAL C HANGE  Reactive N rates have doubled from those of the pre- industrial era due to fossil fuel combustion and use of N fertilizers.  The N cycle interacts with the carbon cycle and is thus connected to climate.  Linking these biogeochemical processes with hydrology and the atmosphere helps to understand potential impacts of the atmosphere on the terrestrial biosphere.  Research Question: How does atmospheric deposition of N affect terrestrial ecosystem processes and how does this linkage feed back to the atmosphere? Courtesy Julian Reyes

R EGIONAL A TMOSPHERIC C HEMISTRY : CMAQ  CMAQ: Community Multi-Scale Air Quality Model  Project of the U.S EPA  Solution to the pollutant conservation equation  chemical species, 100’s of reactions  Cloud chemistry  Detailed wet/dry deposition scheme

R EGIONAL H YDRO -E COLOGIC S IMULATION S YSTEM (RHESS YS ) Christina Tague Bren School of environmental science and management University of California, Santa Barbara

Carbon and Nitrogen cycling in the RHESSys model Energy (radiation), carbon, nitrogen and water balance Stand competition for water, light, nutrients Feedback between NPP, growth, phenology, and soil biogeochemical cycling Slide courtesy of Christina Tague

S TUDY W ATERSHED  H.J. Andrews Experimental Forest, Oregon  NSF Long Term Ecological Research (LTER) for analysis of forest and stream ecosystem dynamics  Long-term observations focused on climate dynamics, streamflow, water quality, and vegetation succession Graphics courtesy

S TUDY A PPROACH  Compare sensitivity of RHESSys-simulated (short- and long-term soil and plant) biogeochemical processes to atmospheric deposition of N (ADN) as determined by  Observed wet/dry ADN depositions  CMAQ-simulated wet/dry ADN (historical and future projected under climate change)  Hypothetical perturbations of ADN: Chronic low level, chronic high level Spikes Long-term increase or decrease

E XAMPLE OF R ESULTS

N EED F URTHER I NFORMATION ?  Please contact:  Jennifer Adam:  Or visit our webpage: (currently in development)

QUESTIONS?

E XTRA SLIDES

A PPROACH AND R ATIONALE  Integrate or link existing sophisticated “stand alone” models that are in continuous development  Atmosphere: meteorology, atmospheric chemistry  Terrestrial: hydrology, soil/plant biogeochemistry in cropped and natural systems, biogenic emissions  Aquatic: river routing, reservoir modeling, nutrient export  Economics  As the “stand alone” components continue to improve by their developers, the BioEarth will also continue to develop

Physical System of Dams and Reservoirs Reservoir Operating Policies Reservoir Storage Regulated Streamflow Flood Control Energy Production Irrigation Consumption Streamflow Augmentation VIC Streamflow Time Series T HE R ESERVOIR M ODEL (C OL S IM ) Slide courtesy of Alan Hamlet

Point Sewage Non-point Natural N fixation Atmospheric N dep. Fertilizer N-fixation by crops Manure Crop export (-) Runoff Sewage treatment DIN in surface waters DIN exported from basin Retention in reservoirs In-stream removal Consumptive use Terrestrial retention NEWS2-DIN Nitrogen Inputs Slide borrowed from Kara Goodwin

WSDA / USDA crop distribution data Courtesy Kiran Chinnayakanahalli WSDA DETAILED CROP INFORMATION FOR W ASHINGTON S TATE USDA C ROPLAND D ATA L AYER (CDL) FOR OTHER STATES

B IO E ARTH