TY - GEN
T1 - Multiple radar data merging in hydro-NEXRAD
AU - Krajewski, Witold F.
AU - Seo, Bong Chul
AU - Kruger, Anton
AU - Domaszczynski, Piotr
AU - Villarini, Gabriele
AU - Smith, James A.
PY - 2008
Y1 - 2008
N2 - The Hydro-NEXRAD merging algorithms include two options: (1) data-based merging; and (2) product-based merging. Data-based merging algorithm takes volume scan reflectivity data from all radars involved through preprocessing algorithm that performs volume data quality control, interpolates data to synchronize temporal scale between individual radars, and finally combines data onto a common geographic grid. Reflectivity values for a given location are assigned by a weighting function with respect to the distance from the radar. This single reflectivity field is then converted to rainfall amounts using a user-requested standard approach. In product-based merging algorithm reflectivity data from multiple radars are all converted to rainfall using the same, user-specified algorithm. These products are then combined into the final one using a weighting function that expresses the uncertainty of estimated rainfall amounts.
AB - The Hydro-NEXRAD merging algorithms include two options: (1) data-based merging; and (2) product-based merging. Data-based merging algorithm takes volume scan reflectivity data from all radars involved through preprocessing algorithm that performs volume data quality control, interpolates data to synchronize temporal scale between individual radars, and finally combines data onto a common geographic grid. Reflectivity values for a given location are assigned by a weighting function with respect to the distance from the radar. This single reflectivity field is then converted to rainfall amounts using a user-requested standard approach. In product-based merging algorithm reflectivity data from multiple radars are all converted to rainfall using the same, user-specified algorithm. These products are then combined into the final one using a weighting function that expresses the uncertainty of estimated rainfall amounts.
KW - Radar
KW - Rainfall
KW - Uncertainty principles
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U2 - 10.1061/40976(316)388
DO - 10.1061/40976(316)388
M3 - Conference contribution
AN - SCOPUS:79251485323
SN - 9780784409763
T3 - World Environmental and Water Resources Congress 2008: Ahupua'a - Proceedings of the World Environmental and Water Resources Congress 2008
BT - World Environmental and Water Resources Congress 2008
T2 - World Environmental and Water Resources Congress 2008: Ahupua'a
Y2 - 12 May 2008 through 16 May 2008
ER -