Variation among solar radiation data sets for the Eastern US and its effects on predictions of forest production and water yield

Spatially explicit modeling of ecosystem response to environmental change is often con- strained as much by the accuracy of the data planes used to drive the model as by the differences in structure and parameterization of the models employed. In humid zones models of forest production at the site level are often more sensitive to solar radiation inputs than to other climate drivers. Radiation data are the most sparsely measured of routine climatological data. Still, we identified 3 different Web- based sources, containing 5 long-term mean radiation data sets, which differed in method of develop- ment and extrapolation. Comparisons are presented among the 5 data sets for estimated monthly mean total radiation as a fraction of total potential. The 5 vary by more than 20% in mean monthly solar radi- ation and result in differences in predicted woody biomass production of as much as 21%, up to 12% in total net primary production. We selected 1 data set to develop a statistical model of mean monthly radiation in units relevant to photosynthesis models (photosynthetically active radiation (PAR), µmol m -2 s -1 ) for the Eastern US, as part of the USDA Forest Service Eastwide global change effort (a joint effort of the Northern and Southern Global Change Programs). A simple multiple linear model predicted spatial PAR values with a standard error of the estimate of less than 6% in all months, and with lowest values (<3%) in mid-year.

[1]  Peter E. Thornton,et al.  Generating surfaces of daily meteorological variables over large regions of complex terrain , 1997 .

[2]  A. Bondeau,et al.  Comparing global models of terrestrial net primary productivity (NPP): overview and key results , 1999 .

[3]  Scott V. Ollinger,et al.  Sources of Variability in Net Primary Production Predictions at a Regional Scale: A Comparison Using PnET-II and TEM 4.0 in Northeastern US Forests , 1999, Ecosystems.

[4]  Yude Pan,et al.  The importance of climate and soils for estimates of net primary production: a sensitivity analysis with the terrestrial ecosystem model , 1996 .

[5]  A. Angstroem.  Solar and terrestrial radiation , 1924 .

[6]  M. Iqbal.  An introduction to solar radiation , 1983 .

[8]  G. Campbell,et al.  On the relationship between incoming solar radiation and daily maximum and minimum temperature , 1984 .

[9]  S. Running,et al.  Validating Diurnal Climatology Logic of the MT-CLIM Model Across a Climatic Gradient in Oregon , 1994 .

[10]  A. Bondeau,et al.  Comparing global models of terrestrial net primary productivity (NPP): analysis of differences in light absorption and light‐use efficiency , 1999 .

[11]  S. Ollinger,et al.  Modeling nitrogen saturation in forest ecosystems in response to land use and atmospheric deposition , 1997 .

[12]  Gloor,et al.  A Large Terrestrial Carbon Sink in North America Implied by Atmospheric and Oceanic Carbon Dioxide Data and Models , 2022 .

[13]  S. Ollinger,et al.  Mapping monthly precipitation, temperature, and solar radiation for Ireland with polynomial regression and a digital elevation model , 1998 .

[14]  J. Aber,et al.  Predicting the Effects of Climate Change on Water Yield and Forest Production in Northeastern U.S , 1995 .

[15]  P. Reich,et al.  Predicting the effects of climate change on water yield and forest production in the northeastern United States , 1995 .

[16]  J. M. Ellis,et al.  A Spatial Model of Atmospheric Deposition for the Northeastern U.S. , 1993, Ecological applications : a publication of the Ecological Society of America.

[17]  Ramakrishna R. Nemani,et al.  Extrapolation of synoptic meteorological data in mountainous terrain and its use for simulating forest evapotranspiration and photosynthesis , 1987 .

[18]  J. William Munger,et al.  Exchange of Carbon Dioxide by a Deciduous Forest: Response to Interannual Climate Variability , 1996, Science.