A climate change database for biological assessments in the southeastern United States: Development and case study

Citation
Ej. Cooter et al., A climate change database for biological assessments in the southeastern United States: Development and case study, CLIM CHANGE, 44(1-2), 2000, pp. 89-121
Citations number
74
Categorie Soggetti
Environment/Ecology,"Earth Sciences
Journal title
CLIMATIC CHANGE
ISSN journal
01650009 → ACNP
Volume
44
Issue
1-2
Year of publication
2000
Pages
89 - 121
Database
ISI
SICI code
0165-0009(200001)44:1-2<89:ACCDFB>2.0.ZU;2-P
Abstract
A regional database containing historical time series and climate change sc enarios for the Southeastern United States was developed for the U.S.D.A. F orest Service Southern Global Change Program (SGCP). Daily historical value s of maximum temperature, minimum temperature and precipitation and empiric ally derived estimates of vapor pressure deficit and solar radiation across a uniform 1 degrees latitude x 1 degrees longitude grid were obtained. Cli mate change scenarios of temperature, precipitation, vapor pressure deficit and solar radiation were generated using semi-empirical techniques which c ombined historical time series and simulation field summaries from GISS, GF DL, OSU and UKMO General Circulation Model (GCM) experiments. An internally consistent 1 degrees latitude x 1 degrees longitude climate change scenari o database was produced in which vapor pressure deficit and solar radiation conditions were driven by the GCM temperature projections, but were not co nstrained to agree with GCM calculated radiation and humidity fields. Some of the unique characteristics of the database were illustrated through a ca se study featuring growing season and annual potential evapotranspiration ( ETp) estimates. Overall, the unconstrained scenarios produced smaller media n ETp changes from historical baseline conditions, with a smaller range of outcomes than those driven by GCM-directed scenarios. Collectively, the ran ge of annual and growing season ETp changes from baseline estimates in resp onse to the unconstrained climate scenarios was +10% to +40%. No outlier re sponses were identified. ETp changes driven by GCM-directed (constrained) U KMO radiation and humidity scenarios were on the order of +100%, resulting in the identification of some ETp responses as statistical outliers. These response differences were attributed to differences between the constrained and unconstrained humidity scenarios.