Modern monthly effective recharge maps for the conterminous U.S., 2003-2015
This data set includes 1 km resolution monthly timescale estimates of the effective recharge component of the water budget over the time period from October 2003 - December 2015. These estimates were developed as water budget residuals using previously published data sets for other water budget comp...
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Online Access: | https://dx.doi.org/10.5066/p9nrvaq5 https://www.sciencebase.gov/catalog/item/5cd0a1b1e4b09b8c0b79a51c |
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ftdatacite:10.5066/p9nrvaq5 2023-05-15T17:14:22+02:00 Modern monthly effective recharge maps for the conterminous U.S., 2003-2015 Reitz, Meredith Sanford, Ward 2019 https://dx.doi.org/10.5066/p9nrvaq5 https://www.sciencebase.gov/catalog/item/5cd0a1b1e4b09b8c0b79a51c unknown U.S. Geological Survey dataset Dataset 2019 ftdatacite https://doi.org/10.5066/p9nrvaq5 2021-11-05T12:55:41Z This data set includes 1 km resolution monthly timescale estimates of the effective recharge component of the water budget over the time period from October 2003 - December 2015. These estimates were developed as water budget residuals using previously published data sets for other water budget components: PRISM precipitation (Daly et al., 2008), SNODAS snow water equivalent (National Operational Hydrologic Remote Sensing Center, 2004), SSEBop-WB evapotranspiration (Reitz et al., 2017a), a map of groundwater-sourced irrigation (Reitz et al., 2017b), and monthly surface runoff maps (Reitz et al., 2019). The recharge data were estimated as the difference between water supply (precipitation plus snow melt plus irrigation) and the other water budget components (snow accumulation, surface runoff, and ET) for a given month. In locations / months where the SNODAS snow accumulation data indicated greater snow accumulation than PRISM precipitation for that month, the snow accumulation was capped to the precipitation value. The monthly recharge maps represent the implications of these water budget component estimates on resulting recharge rates, and are not accompanied by an evaluative and interpretive journal article or report, so ought to be taken as preliminary estimates. The authors plan to follow this work with further efforts that will result in updated versions of monthly recharge maps, and accompanying interpretive and evaluative work. The data set here includes two versions of the monthly recharge maps. The raw version (e.g., "2003_raw.zip") includes negative values where the water budget component estimates for ET, runoff, and snow accumulation exceeded the water supply from precipitation and snow melt. The positive version (e.g., "2003_positive.zip") replaces these negative values with zeros. The positive version is the one that should be used for application of these data sets, but the raw version can be useful as an indication of the quality of the water budget estimates in a given location. References: Daly, C., Halbleib, M., Smith, J.I., Gibson, W.P., Doggett, M.K., Taylor, G.H., Curtis, J. and Pasteris, P.P., 2008, Physiographically sensitive mapping of climatological temperature and precipitation across the conterminous United States, Int. J. Climatol., 28(15), 2031. National Operational Hydrologic Remote Sensing Center, 2004, Snow Data Assimilation System (SNODAS) Data Products at NSIDC, Version 1. Snow Water Equivalent. Boulder, Colorado USA. NSIDC: National Snow and Ice Data Center, https://doi.org/10.7265/N5TB14TC. Accessed June 2017. Reitz, Meredith, Senay, G.B., and Sanford, W.E., 2017a, Combined remote sensing and water-balance evapotranspiration estimates (SSEBop-WB) for the conterminous United States: U.S. Geological Survey data release, https://doi.org/10.5066/F7QC02FK. Reitz, Meredith, Sanford, W.E., Senay, G.B., and Cazenas, Jeffrey, 2017b, Annual estimates of recharge, quick-flow runoff, and ET for the contiguous US using empirical regression equations, 2000-2013: U.S. Geological Survey data release, https://doi.org/10.5066/F7PN93P0. Reitz, M., and Sanford, W.E., 2019, Monthly timescale quick-flow runoff maps for the conterminous U.S., 1895-2017: U.S. Geological Survey data release, https://doi.org/10.5066/P9Y1RP02. Dataset National Snow and Ice Data Center DataCite Metadata Store (German National Library of Science and Technology) Daly ENVELOPE(63.761,63.761,-67.513,-67.513) Meredith ENVELOPE(67.717,67.717,-71.200,-71.200) |
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Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
description |
This data set includes 1 km resolution monthly timescale estimates of the effective recharge component of the water budget over the time period from October 2003 - December 2015. These estimates were developed as water budget residuals using previously published data sets for other water budget components: PRISM precipitation (Daly et al., 2008), SNODAS snow water equivalent (National Operational Hydrologic Remote Sensing Center, 2004), SSEBop-WB evapotranspiration (Reitz et al., 2017a), a map of groundwater-sourced irrigation (Reitz et al., 2017b), and monthly surface runoff maps (Reitz et al., 2019). The recharge data were estimated as the difference between water supply (precipitation plus snow melt plus irrigation) and the other water budget components (snow accumulation, surface runoff, and ET) for a given month. In locations / months where the SNODAS snow accumulation data indicated greater snow accumulation than PRISM precipitation for that month, the snow accumulation was capped to the precipitation value. The monthly recharge maps represent the implications of these water budget component estimates on resulting recharge rates, and are not accompanied by an evaluative and interpretive journal article or report, so ought to be taken as preliminary estimates. The authors plan to follow this work with further efforts that will result in updated versions of monthly recharge maps, and accompanying interpretive and evaluative work. The data set here includes two versions of the monthly recharge maps. The raw version (e.g., "2003_raw.zip") includes negative values where the water budget component estimates for ET, runoff, and snow accumulation exceeded the water supply from precipitation and snow melt. The positive version (e.g., "2003_positive.zip") replaces these negative values with zeros. The positive version is the one that should be used for application of these data sets, but the raw version can be useful as an indication of the quality of the water budget estimates in a given location. References: Daly, C., Halbleib, M., Smith, J.I., Gibson, W.P., Doggett, M.K., Taylor, G.H., Curtis, J. and Pasteris, P.P., 2008, Physiographically sensitive mapping of climatological temperature and precipitation across the conterminous United States, Int. J. Climatol., 28(15), 2031. National Operational Hydrologic Remote Sensing Center, 2004, Snow Data Assimilation System (SNODAS) Data Products at NSIDC, Version 1. Snow Water Equivalent. Boulder, Colorado USA. NSIDC: National Snow and Ice Data Center, https://doi.org/10.7265/N5TB14TC. Accessed June 2017. Reitz, Meredith, Senay, G.B., and Sanford, W.E., 2017a, Combined remote sensing and water-balance evapotranspiration estimates (SSEBop-WB) for the conterminous United States: U.S. Geological Survey data release, https://doi.org/10.5066/F7QC02FK. Reitz, Meredith, Sanford, W.E., Senay, G.B., and Cazenas, Jeffrey, 2017b, Annual estimates of recharge, quick-flow runoff, and ET for the contiguous US using empirical regression equations, 2000-2013: U.S. Geological Survey data release, https://doi.org/10.5066/F7PN93P0. Reitz, M., and Sanford, W.E., 2019, Monthly timescale quick-flow runoff maps for the conterminous U.S., 1895-2017: U.S. Geological Survey data release, https://doi.org/10.5066/P9Y1RP02. |
format |
Dataset |
author |
Reitz, Meredith Sanford, Ward |
spellingShingle |
Reitz, Meredith Sanford, Ward Modern monthly effective recharge maps for the conterminous U.S., 2003-2015 |
author_facet |
Reitz, Meredith Sanford, Ward |
author_sort |
Reitz, Meredith |
title |
Modern monthly effective recharge maps for the conterminous U.S., 2003-2015 |
title_short |
Modern monthly effective recharge maps for the conterminous U.S., 2003-2015 |
title_full |
Modern monthly effective recharge maps for the conterminous U.S., 2003-2015 |
title_fullStr |
Modern monthly effective recharge maps for the conterminous U.S., 2003-2015 |
title_full_unstemmed |
Modern monthly effective recharge maps for the conterminous U.S., 2003-2015 |
title_sort |
modern monthly effective recharge maps for the conterminous u.s., 2003-2015 |
publisher |
U.S. Geological Survey |
publishDate |
2019 |
url |
https://dx.doi.org/10.5066/p9nrvaq5 https://www.sciencebase.gov/catalog/item/5cd0a1b1e4b09b8c0b79a51c |
long_lat |
ENVELOPE(63.761,63.761,-67.513,-67.513) ENVELOPE(67.717,67.717,-71.200,-71.200) |
geographic |
Daly Meredith |
geographic_facet |
Daly Meredith |
genre |
National Snow and Ice Data Center |
genre_facet |
National Snow and Ice Data Center |
op_doi |
https://doi.org/10.5066/p9nrvaq5 |
_version_ |
1766071723772346368 |