A Look at Amazon Basin Seasonal Dynamics with the Biophysical ...
A Look at Amazon Basin Seasonal Dynamics with the Biophysical ... A Look at Amazon Basin Seasonal Dynamics with the Biophysical ...
1A Regional Model Intercomparison Over BrazilJ. Roads 1 , S. Chen 1 , S. Cocke 2 , L. Druyan 3 , M. Fulakeza 3T. Larrow 2 , P. Lonergan 3 , J. Qian 4 , S. Zebiak 4jroads@ucsd.eduhttp://ecpc.ucsd.edu/projects/brazil.html1 Scripps Institution of OceanographyExperimental Climate Prediction CenterUCSD, 0224La Jolla, CA 920232 Florida State Univ.COAPSTalahassee, FL3 Goddard Institute for Space StudiesNew York, New York4 International Research InstituteLamontColumbia, NYDuring the past several years, the International Research Institute (IRI) and a few of the NOAAApplied Research Centers (ARCS), have been developing a community regional modelingintercomparison project to assess the capabilities and readiness of various regional climatemodels to downscale IRI global forecasts for various applications. Brazil was chosen for theinitial intercomparison since the IRI can make quite skillful seasonal global forecasts in thisregion. Transferability of regional climate models is also an issue that the Global Energy andWater-Cycle Experiment (GEWEX) has constantly stressed, since there is a recognized need totest regional models where they have not explicitly tuned their parameterizations. Besides theIRI, participating ARCS included the: Scripps Institution of Oceanography ExperimentalClimate Prediction Center (ECPC), Florida State Univ. Cooperative Ocean Atmosphere Project(COAPS), and the Goddard Institute for Space Studies (GISS). The NCEP/NCAR analysis wasused as boundary conditions for two-year continuous simulations (Mar. 1, 1997-May 31, 1999).The resulting climate simulations were somewhat encouraging. Although large-scale errorsdominated the solution, regional models did provide some improvement in precipitationsimulations, especially in comparison to available station observations. Nonetheless, additionalwork is clearly needed to fully realize the added benefits of using regional models in conjunctionwith global models and analyses.
- Page 418: Human Dimensions of Environmental C
- Page 422: Amazonia as a shared space: the cas
- Page 426: Políticas públicas em antiga áre
- Page 430: CONVIDADO DA MESA REDONDA“HUMAN D
- Page 434: INFLUÊNCIA DA PRECIPITAÇÃO E DO
- Page 438: The broader impacts of LBA science:
- Page 442: Maria Del Carmen, Diaz, Instituto d
- Page 446: Challenges in the democratization o
- Page 450: MILK PRODUCTION, REGIONAL DEVELOPME
- Page 454: REFLORESTAMENTO ECONÔMICO CONSORCI
- Page 458: Hydrologic Cycle in Amazon-From Run
- Page 462: High resolution, runoff and dischar
- Page 466: Abstract for LBA Conference in Mana
- Page 472: Feasibility of Using Topex/Poseidon
- Page 476: Modeling the effects of hydrogeolog
- Page 480: Seasonal variations of soil moistur
- Page 484: Estimating Actual Evapotranspiratio
- Page 488: TDR triple-wire probes calibration
- Page 492: Processes of streamflow generation
- Page 496: CALIBRATION OF THE CAMPBELL CS-615
- Page 500: Flooding Regime Characterization wi
- Page 504: Aline ProcopioGEPA - Instituto deFi
- Page 508: Luis Marcelo Mattos Zeri LMO/CPTEC/
- Page 512: Scott DenningColorado StateUniversi
- Page 516: Boundary-layer moisture regimes dur
1A Regional Model Intercomparison Over BrazilJ. Roads 1 , S. Chen 1 , S. Cocke 2 , L. Druyan 3 , M. Fulakeza 3T. Larrow 2 , P. Lonergan 3 , J. Qian 4 , S. Zebiak 4jroads@ucsd.eduhttp://ecpc.ucsd.edu/projects/brazil.html1 Scripps Institution of OceanographyExperimental Clim<strong>at</strong>e Prediction CenterUCSD, 0224La Jolla, CA 920232 Florida St<strong>at</strong>e Univ.COAPSTalahassee, FL3 Goddard Institute for Space StudiesNew York, New York4 Intern<strong>at</strong>ional Research InstituteLamontColumbia, NYDuring <strong>the</strong> past several years, <strong>the</strong> Intern<strong>at</strong>ional Research Institute (IRI) and a few of <strong>the</strong> NOAAApplied Research Centers (ARCS), have been developing a community regional modelingintercomparison project to assess <strong>the</strong> capabilities and readiness of various regional clim<strong>at</strong>emodels to downscale IRI global forecasts for various applic<strong>at</strong>ions. Brazil was chosen for <strong>the</strong>initial intercomparison since <strong>the</strong> IRI can make quite skillful seasonal global forecasts in thisregion. Transferability of regional clim<strong>at</strong>e models is also an issue th<strong>at</strong> <strong>the</strong> Global Energy andW<strong>at</strong>er-Cycle Experiment (GEWEX) has constantly stressed, since <strong>the</strong>re is a recognized need totest regional models where <strong>the</strong>y have not explicitly tuned <strong>the</strong>ir parameteriz<strong>at</strong>ions. Besides <strong>the</strong>IRI, particip<strong>at</strong>ing ARCS included <strong>the</strong>: Scripps Institution of Oceanography ExperimentalClim<strong>at</strong>e Prediction Center (ECPC), Florida St<strong>at</strong>e Univ. Cooper<strong>at</strong>ive Ocean Atmosphere Project(COAPS), and <strong>the</strong> Goddard Institute for Space Studies (GISS). The NCEP/NCAR analysis wasused as boundary conditions for two-year continuous simul<strong>at</strong>ions (Mar. 1, 1997-May 31, 1999).The resulting clim<strong>at</strong>e simul<strong>at</strong>ions were somewh<strong>at</strong> encouraging. Although large-scale errorsdomin<strong>at</strong>ed <strong>the</strong> solution, regional models did provide some improvement in precipit<strong>at</strong>ionsimul<strong>at</strong>ions, especially in comparison to available st<strong>at</strong>ion observ<strong>at</strong>ions. None<strong>the</strong>less, additionalwork is clearly needed to fully realize <strong>the</strong> added benefits of using regional models in conjunction<strong>with</strong> global models and analyses.