The Integrated Precipitation and Hydrology Experiment. Part I: Quality High-Resolution Landscape Attributes Datasets.
Abstract
Quality-controlled datasets at high spatial and temporal resolution (1km×1km, hourly)
for a five year period (2007-2011) were developed for the IPHEx-H4SE project (Integrated
Precipitation and Hydrology Experiment – Hydrologic Applications for the Southeast
US), to support a common platform for the intercomparison and evaluation of hydrological
models using various QPE (Quantitative Precipitation Estimation) products in an operational
setting in coordination with the Intense Observing Period of the IPHEx field campaign
in April-July 2014 (IPHEX2014). The data sets span four major river basins in the
Southeast US with headwaters in the Southern Appalachians: the Upper Tennessee, the
Savannah, the Catawba-Sandee, and the Yadkin-Peedee. Quality control and post processing
were conducted to correct and improve the hydrometeorological forcing data sets. In
this manuscript, we present the procedures and methodology to develop land surface
broadband albedo, broadband emissivity, leaf area index (LAI), and fractional vegetation
coverage (CV) at high tempo-spatial resolution based on the MODIS (Moderate Resolution
Imaging Spectroradiometer) products. Quality control, gap filling and temporal filtering
were performed to correct and improve the landscape attributes derived from MODIS
products mainly due to cloud or snow or foggy contamination and limitations of retrieval
algorithms. The datasets were utilized to specify land attributes in a distributed
hydrological model (3D-LSHM) in the Pigeon River Basin, a headwater basin of one of
the four major river basins in the Southeast of interest in the IPHEx-H4SE project.
Results from fiveyear continuous simulations from 2007 to 2011 are used illustrate
the importance of the quality landscape attributes affect the regional water partitioning
at basin scale and thus the overall the hydrologic regime.
Type
ReportSubject
IPHEXHydrologic Applications
SEUS
Landscape Attributes
Land surface broadband albedo
Land surface broadband emissivity
Leaf area index (LAI)
Fractional vegetation coverage
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https://hdl.handle.net/10161/8289Published Version (Please cite this version)
10.7924/G8H41PBGCollections
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