The Effects of Climate Downscaling Technique and Observational Dataset on Modeled Ecological Responses: Supporting Data Tables
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These data have been prepared as a supplement to
Pourmokhtarian et al. (2016; full citation below), where
complete details on methods can be found. We evaluated three
downscaling methods: the delta method (or the change factor
method); monthly quantile mapping (Bias Correction-Spatial
Disaggregation, or BCSD); and daily quantile regression
(Asynchronous Regional Regression Model, or ARRM).
Additionally, we trained outputs from four atmosphere-ocean
general circulation models (AOGCMs) (CCSM3, HadCM3, PCM, and
GFDL-CM2.1) driven by higher (A1fi) and lower (B1) future
emissions scenarios on two sets of observations (1/8th degree
resolution grid vs. individual weather station) to generate
the high-resolution climate input for the forest
biogeochemical model PnET-BGC (8 ensembles of 6 runs).
This dataset consists of three files - 1) a zip archive
file of all raw daily downscaled AOGCMs (csv format; years
1960-2099; delta method 2012-2099 only) which were used as
input for PnET-BGC model, 2) a zip archive file of all
PnET-BGC output files for each model run (csv format; years
1000-2100), and 3) a pdf document file that describes the
content of the input and output files. Data were also used
from the following Hubbard Brook longterm datasests: Daily
Streamflow Watershed 6:
http://dx.doi.org/10.6073/pasta/727ee240e0b1e10c92fa28641bedb0a3
Chemistry of Streamwater at the Hubbard Brook Experimental
Forest, Watershed 6:
http://dx.doi.org/10.6073/pasta/2ec152b0ab1d4e64aa40f4aa9bc492ac
Daily Precipitation Watershed 6:
http://dx.doi.org/10.6073/pasta/17c8ff8b160bf7893ef39f75a02652e5
Daily Maximum/Minimum Temperature Data:
http://dx.doi.org/10.6073/pasta/2a4ab5522ce15f28196a6035802b09e8
Daily Solar Radiation Data:
http://dx.doi.org/10.6073/pasta/2fa098a5aa191c64e622b253c0fee5af
These data were gathered as part of the Hubbard Brook
Ecosystem Study (HBES). The HBES is a collaborative effort at
the Hubbard Brook Experimental Forest, which is operated and
maintained by the USDA Forest Service, Northern Research
Station.
提供机构:
Environmental Data Initiative
创建时间:
2019-01-10



