Skip to Main Content
-
VEMAP phase 2 bioclimatic database. I. Gridded historical (20th century) climate for modeling ecosystem dynamics across the conterminous USA
Author(s): Timothy G.F. Kittel; Nan. A. Rosenbloom; J.A. Royle; C. Daly; W.P. Gibson; H.H. Fisher; P. Thornton; D.N. Yates; S. Aulenbach; C. Kaufman; R. McKeown; Dominque Bachelet; David S. Schimel
Date: 2004
Source: Climate Research. 27: 151-170
Publication Series: Miscellaneous Publication
PDF: Download Publication (2.98 MB)Description
Analysis and simulation of biospheric responses to historical forcing require surface climate data that capture those aspects of climate that control ecological processes, including key spatial gradients and modes of temporal variability. We developed a multivariate, gridded historical climate dataset for the conterminous USA as a common input database for the egetationlEcosystem Modeling and Analysis Project (VEMAP), a biogeochemical and dynamic vegetation model intercomparison. The dataset covers the period 1895-1993 on a 0.5" latitude/longitude grid. Climate is represented at both monthly and daily timesteps. Variables are: precipitation, mininirnum and maximum temperature, total incident solar radiation, daylight-period irradiance, vapor pressure, and daylight-period relative humidity. The dataset was derived from US Historical Climate Network (HCN), cooperative network, and snowpack telemetry (SNOTEL) monthly precipitation and mean nninirnw and maximum temperature station data. We employed techniques that rely on geostatistical and physical relationships to create the temporally and spatially complete dataset. We developed a local kriging prediction model to iniill discontinuous and limited-length station records based on spatial autocorrelation structure of climate anomalies. A spatial interpolation model (PRISM) that accounts for physiographic controls was used to grid the infilled monthly station data. We implemented a stochastic weather generator (modified WGEN) to disaggregate the gridded monthly series to dailies. Radiation and humidity variables were estimated from the dailies using a physically-based empirical surface climate model (MTCLIM3). Derived datasets include a 100 yr model spin-up climate and a historical Palmer Drought Severity Index (PDSI) dataset. The VEMAP dataset exhibits statistically significant trends in temperature, precipitation, solar radiation, vapor pressure, and PDSI for US Nationd Assessment regions. The historical climate and companion datasets are available online at data archive centers.Publication Notes
- You may send email to pubrequest@fs.fed.us to request a hard copy of this publication.
- (Please specify exactly which publication you are requesting and your mailing address.)
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
Citation
Kittel, Timothy G.F.; Rosenbloom, Nan. A.; Royle, J.A.; Daly, C.; Gibson, W.P.; Fisher, H.H.; Thornton, P.; Yates, D.N.; Aulenbach, S.; Kaufman, C.; McKeown, R.; Bachelet, Dominque.; Schimel, David S. 2004. VEMAP phase 2 bioclimatic database. I. Gridded historical (20th century) climate for modeling ecosystem dynamics across the conterminous USA. Climate Research. 27: 151-170Keywords
Climate dataset, climate variability, climate change, ecosystem dynamics, vegetation, ecological modeling, VEMAP, geostatistics, palmer drought severity index, PDSIRelated Search
- Data Descriptor: TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958-2015
- High-resolution interpolation of climate scenarios for Canada derived from general circulation model simulations
- High resolution interpolation of climate scenarios for the conterminous USA and Alaska derived from general circulation model simulations
XML: View XML
Show More
Show Fewer
https://www.fs.usda.gov/treesearch/pubs/21379