BibTex format
@article{Kittel:2004:10.3354/cr027151,
author = {Kittel, TGF and Rosenbloom, NA and Royle, JA and Daly, C and Gibson, WP and Fisher, HH and Thornton, P and Yates, DN and Aulenbach, S and Kaufman, C and McKeown, R and Bachelet, D and Schimel, DS and Neilson, R and Lenihan, J and Drapek, R and Ojima, DS and Parton, WJ and Melillo, JM and Kicklighter, DW and Tian, H and McGuire, AD and Sykes, MT and Smith, B and Cowling, S and Hickler, T and Prentice, IC and Running, S and Hibbard, KA and Post, WM and King, AW and Smith, T and Rizzo, B and Woodward, FI},
doi = {10.3354/cr027151},
journal = {Climate Research},
pages = {151--170},
title = {VEMAP Phase 2 bioclimatic database. I. Gridded historical (20th century) climate for modeling ecosystem dynamics across the conterminous USA},
url = {http://dx.doi.org/10.3354/cr027151},
volume = {27},
year = {2004}
}
RIS format (EndNote, RefMan)
TY - JOUR
AB - 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 Vegetation/Ecosystem 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, mininimum 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 minimum 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 infill 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 National Assessment regions. The historical climate an
AU - Kittel,TGF
AU - Rosenbloom,NA
AU - Royle,JA
AU - Daly,C
AU - Gibson,WP
AU - Fisher,HH
AU - Thornton,P
AU - Yates,DN
AU - Aulenbach,S
AU - Kaufman,C
AU - McKeown,R
AU - Bachelet,D
AU - Schimel,DS
AU - Neilson,R
AU - Lenihan,J
AU - Drapek,R
AU - Ojima,DS
AU - Parton,WJ
AU - Melillo,JM
AU - Kicklighter,DW
AU - Tian,H
AU - McGuire,AD
AU - Sykes,MT
AU - Smith,B
AU - Cowling,S
AU - Hickler,T
AU - Prentice,IC
AU - Running,S
AU - Hibbard,KA
AU - Post,WM
AU - King,AW
AU - Smith,T
AU - Rizzo,B
AU - Woodward,FI
DO - 10.3354/cr027151
EP - 170
PY - 2004///
SN - 0936-577X
SP - 151
TI - VEMAP Phase 2 bioclimatic database. I. Gridded historical (20th century) climate for modeling ecosystem dynamics across the conterminous USA
T2 - Climate Research
UR - http://dx.doi.org/10.3354/cr027151
VL - 27
ER -