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CPC Leaky Bucket Model: Soil Moisture, Evaporation, Runoff


Identification Information:
(datsetid): gov.noaa.cpc:LeakBuck
Citation:
Citation Information:
Originator: Climate Prediction Center, National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce
Publication Date: 20080101
Title: CPC Leaky Bucket Model: Soil Moisture, Evaporation, Runoff
Geospatial Data Presentation Form: raster digital data, vector digital data
Publication Information:
Publication Place: Camp Springs, MD
Publisher: Climate Prediction Center
Online Linkage: http://www.cpc.ncep.noaa.gov/products/Soilmst_Monitoring/index.shtml
(CI_OnlineResource):
Online location (URL): http://www.cpc.ncep.noaa.gov/products/Soilmst_Monitoring/index.shtml
Connection protocol: http
(applicationProfile): web browser
(name): CPC Land Surface Monitoring and Prediction Leaky Bucket Model
(description): Information on the Bucket Model calculation and input data.
(function): information
Description:
Abstract: This dataset includes a series of digital maps displaying CPC calculated soil moisture (total, anomalies and percentiles), evaporation and runnof (mean, anomalies and percentiles) for the most recent day, monthly and 12 months for the Continental U.S. The soil moisture is calculated using a one-layer hydrological (Leaky Bucket) water balance model with precipitation, evaporation, runoff (or streamflow divergence), and groundwater loss as the components of the water balance. The model uses observed precipitation and temperature to calculate soil moisture, evaporation and runoff. The potential evaporation is estimated from the observed temperature. The soil moisture is modeled to the extent it participates in land surface processes, which is usually the upper 1 to 2 meters of soil. The model is tuned based on observed runoff data resulting in a maximum holding capacity of 760mm of water. This implies a soil column depth of 1.6 meters in the model with a common porosity of 0.47.The land surface meteorological datasets used to drive the soil moisture model include the Monthly U.S. Climate Divisional data (approximately 344 Climate Divisions) from NCDC for 1931 to present, and real-time daily temperature data (CPC in-house product) and real-time precipitation data from daily observing stations with a one day lag. The divisional climate data are used for the monthly calculations, and the real-time data are used for recent daily calculations until the divisional data are available from NCDC. Daily station data from 138 Cooperative Observer stations are also used for some specialized questions that require the use of daily data. The soil moisture anomaly departure (in mm) is from the 1971-2000 climatology, and the ranking percentiles are based on the period from 1932 to present. A Cressman scheme analysis is used as the interpolation method to contour plot the resulting soil moisture for the Climate Divisions.
Purpose: To provide drought monitoring support for the National Integrated Drought Information System (NIDIS), researchers and the general public.
(documnts):
(scipap):
Citation Information:
Originator: Fan, Y.
Originator: van den Dool, Huug
Publication Date: 2004
Title: Climate Prediction Center global monthly soil moisture data set at 0.5 degree resolution for 1948 to present
Series Information:
Series Name: Journal of Geophysical Research Atmospheres, Vol. 109
Issue Identification: D10102
Publication Information:
Publication Place: Washington, DC
Publisher: American Geophysical Union (AGU)
Other Citation Details: doi:10.1029/2003JD004345
Online Linkage: http://www.cpc.ncep.noaa.gov/products/Soilmst_Monitoring/Papers/2003JD004345.pdf
(CI_OnlineResource):
Online location (URL): http://www.cpc.ncep.noaa.gov/products/Soilmst_Monitoring/Papers/2003JD004345.pdf
Connection protocol: http
(applicationProfile): web browser
(name): Climate Prediction Center global monthly soil moisture data set at 0.5 degree resolution for 1948 to present
(description): A PDF copy of the publication (1.1 MB).
(function): download
(scipap):
Citation Information:
Originator: Huang, J.
Originator: van den Dool, Huug
Originator: Georgakakos, K.P.
Publication Date: 1996
Title: Analysis of Model-Calculated Soil Moisture over the United States (1931-1993) and Application to Long-Range Temperature Forecasts
Series Information:
Series Name: Journal of Climate, Vol. 9
Issue Identification: No.6, 1350-1362
Publication Information:
Publication Place: Boston, MA
Publisher: American Meteorological Society (AMS)
Online Linkage: http://www.cpc.ncep.noaa.gov/products/Soilmst_Monitoring/Papers/huang_etal_1996.pdf
(CI_OnlineResource):
Online location (URL): http://www.cpc.ncep.noaa.gov/products/Soilmst_Monitoring/Papers/huang_etal_1996.pdf
Connection protocol: http
(applicationProfile): web browser
(name): Analysis of Model-Calculated Soil Moisture over the United States (1931-1993) and Application to Long-Range Temperature Forecasts
(description): A PDF copy of the publication (1.4 MB).
(function): download
(scipap):
Citation Information:
Originator: van den Dool, Huug
Originator: Huang, J.
Originator: Fan, Y.
Publication Date: 2003
Title: Performance and analysis of the constructed analogue method applied to U.S. soil moisture over 1981-2001
Series Information:
Series Name: Journal of Geophysical Research Atmospheres, Vol. 108
Issue Identification: No. D16
Publication Information:
Publication Place: Washington, DC
Publisher: American Geophysical Union (AGU)
Other Citation Details: doi:10.1029/2002JD003114
Online Linkage: http://www.cpc.ncep.noaa.gov/products/Soilmst_Monitoring/Papers/2002JD003114.pdf
(CI_OnlineResource):
Online location (URL): http://www.cpc.ncep.noaa.gov/products/Soilmst_Monitoring/Papers/2002JD003114.pdf
Connection protocol: http
(applicationProfile): web browser
(name): Performance and analysis of the constructed analogue method applied to U.S. soil moisture over 1981-2001
(description): A PDF copy of the publication (700 KB).
(function): download
Supplemental Information: data set
(noaainfo):
(entry): Unknown
(sensor): NOT APPLICABLE
(source): MODELS
(campaign): National Integrated Drought Information System (NIDIS)
(center): DOC/NOAA/NWS/NCEP/CPC > Climate Prediction Center, National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce
(reference): Fan, Y., and H. van den Dool (2004), Climate Prediction Center global monthly soil moisture data set at 0.5 degree resolution for 1948 to present, J. Geophys. Res., 109, D10102, doi:10.1029/2003JD004345. Huang, J., H. M. van den Dool, and K. G. Georgakakos (1996), Analysis of model-calculated soil moisture over the US (1931-1993) and applications to long range temperature forecasts, J. Clim., 9, 1350-1362.Van den Dool, H., J. Huang, and Y. Fan (2003), Performance and analysis of the constructed analogue method applied to U.S. soil moisture over 1981-2001, J. Geophys. Res., 108(D16), 8617, doi:10.1029/2002JD003114.
(nsurls):
(moreinfo):http://www.cpc.ncep.noaa.gov/products/Soilmst_Monitoring/index.shtml
(preview):http://www.cpc.ncep.noaa.gov/products/Soilmst_Monitoring/Figures/daily/curr.w.full.daily.gif
(obtain):http://www.cpc.ncep.noaa.gov/cgi-bin/SOIL-MOISTURE-GIS-data.sh
(relatns):
Time Period of Content:
Time Period Information:
Range of Dates/Times:
Beginning Date: 20080101
Ending Date: Present
Currentness Reference: Ground condition
Status:
Progress: Complete
Maintenance and Update Frequency: As needed
Spatial Domain:
Bounding Coordinates:
West Bounding Coordinate: -125.0
East Bounding Coordinate: -66.0
North Bounding Coordinate: 50.0
South Bounding Coordinate: 24.0
Keywords:
Theme:
Theme Keyword Thesaurus: ISO 19115 Topic Category
Theme Keyword: climatologyMeteorologyAtmosphere
Theme Keyword: 004
Theme Keyword: farming
Theme Keyword: 001
Theme:
Theme Keyword Thesaurus: NASA/GCMD Science Keywords
Theme Keyword: Agriculture > Soils > Soil Moisture/Water Content
Theme Keyword: Atmosphere > Atmospheric Phenomena > Drought
Theme Keyword: EARTH SCIENCE > Land Surface > Soils > Soil Moisture/Water Content
Theme:
Theme Keyword Thesaurus: GCMD Earth Science Services Keywords
Theme Keyword: Models > Land Surface Models
Place:
Place Keyword Thesaurus: NASA/GCMD Location Keywords
Place Keyword: Continent > North America > United States Of America
Stratum:
Stratum Keyword Thesaurus: NASA/GCMD Location Keywords
Stratum Keyword: Vertical Location > Land Surface
Temporal:
(plainsid):
(missname): National Integrated Drought Information System (NIDIS)
(platflnm): MODELS
(instflnm): NOT APPLICABLE
(bandidnt):
(inbident):
Access Constraints: None
Use Constraints: Acknowledgement of the Data Originator (NOAA/NWS/NCEP/Climate Prediction Center) when using the Product as a source.
Point of Contact:
Contact Information:
Contact Organization Primary:
Contact Organization: Climate Prediction Center, National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce
Contact Person: Yun Fan
Contact Position: Research Scientist
Contact Address:
Address Type: mailing
Address: NOAA/Climate Prediction Center 5200 Auth Rd. Room 605
City: Camp Springs
State or Province: MD
Postal Code: 20746
Country: USA
Contact Voice Telephone: 301-763-8000 (ext 7533)
Contact Facsimile Telephone: 301-763-8395
Contact Electronic Mail Address: yun.fan@noaa.gov
Hours: 9:00 AM to 3:00 PM Eastern
Browse Graphic:
Browse Graphic File Name: http://www.cpc.ncep.noaa.gov/products/Soilmst_Monitoring/Figures/daily/curr.w.full.daily.ncsp.gif
Browse Graphic File Description: This dataset includes a series of digital maps displaying Climate Prediction Center (CPC) calculated soil moisture (total, anomalies and percentiles), evaporation and runoff (mean, anomalies and percentiles) for the most recent day, monthly and 12 months.
Browse Graphic File Type: GIF
Data Quality Information:
Attribute Value Accuracy Information:
Attribute Accuracy Report: The CPC model does well on independent soil moisture data observed in Illinois. Both the annual cycle and interannual soil moisture anomalies are fairly well simulated. The anomaly correlation is about 0.60-0.75 over the state during the 1984-2001 period. Reference: Fan, Y., and H. van den Dool (2004), Climate Prediction Center global monthly soil moisture data set at 0.5 degree resolution for 1948 to present, J. Geophys. Res., 109, D10102, doi:10.1029/2003JD004345.
Logical Consistency Report: Soil moisture data for the lower 48 contiguous states (CONUS) may display abrupt discontinuities near political and geographical borders. The coarse model output (at the Climate Divisions) may neglect local meteorological and hydrological effects. Also, the Cressman analysis used to contour plot the data may create unrealistic values, especially in the boundary area and in areas with large gradients.
Completeness Report: The daily station precipitation data tend to be heavier compared to the U.S. Climate Division data, and thus problems may occur from using the real-time station data in the soil moisture calculations for the current month until better source data are available.
Lineage:
Process Step:
Process Description: The soil moisture is calculated using a one-layer hydrological (Leaky Bucket) water balance model with precipitation, evaporation, runoff (or streamflow divergence), and groundwater loss as the components of the water balance. The model uses observed precipitation and temperature to calculate soil moisture, evaporation and runoff. The potential evaporation is estimated from the observed temperature. U.S. Climate Divisional data are used for the monthly calculations, and real-time temperature and precipitation data are used for recent daily calculations. Daily station data from 138 Cooperative Observer stations are also used for some specialized questions that require the use of daily data. A series of digital maps displaying CPC calculated soil moisture, anomalies and percentiles for the most recent day, monthly and 12 months for the Continental U.S. are produced from the calculations. A Cressman scheme analysis is used as the interpolation method to contour plot the resulting soil moisture for the Climate Divisions.
Process Date: Not complete
Entity and Attribute Information:
Detailed Description:
Entity Type:
Attribute:
Attribute Domain Values:
Enumerated Domain:
Range Domain:
Codeset Domain:
(datascal):
(polyfunc):
(polynume):
(polydeno):
Attribute Value Accuracy Information:
Overview Description:
Entity and Attribute Overview: The Product comprises of calculated soil moisture, anomalies and percentiles for the most recent day, monthly and 12 months for the Continental U.S.
Entity and Attribute Detail Citation: http://www.cpc.ncep.noaa.gov/products/Soilmst_Monitoring/index.shtml
Distribution Information:
Distributor:
Contact Information:
Contact Organization Primary:
Contact Organization: Climate Prediction Center, National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce
Contact Person: Yun Fan
Contact Position: Research Scientist
Contact Address:
Address Type: mailing
Address: NOAA/Climate Prediction Center 5200 Auth Rd. Room 605
City: Camp Springs
State or Province: MD
Postal Code: 20746
Country: USA
Contact Voice Telephone: 301-763-8000 (ext 7533)
Contact Facsimile Telephone: 301-763-8395
Contact Electronic Mail Address: Yun.Fan@noaa.gov
Hours: 9:00 AM to 3:00 PM Eastern
Resource Description: 001
Distribution Liability: The distributor of these data assumes no liability, nor does the fact of distribution constitute such a responsibility.
Standard Order Process:
Digital Form:
Digital Transfer Information:
Format Name: SHP, SHX, DBF, PRJ, TIF
File Decompression Technique: Files are Zip compressed.
Digital Transfer Option:
Online Option:
Computer Contact Information:
Network Address:
Network Resource Name: http://www.cpc.ncep.noaa.gov/cgi-bin/SOIL-MOISTURE-GIS-data.sh
(CI_OnlineResource):
Online location (URL): http://www.cpc.ncep.noaa.gov/cgi-bin/SOIL-MOISTURE-GIS-data.sh
Connection protocol: http
(applicationProfile): web browser
(name): CPC Soil Moisture GIS Data
(description): GIS data files available for download are listed by day and month per product type.
(function): download
Offline Option:
Recording Capacity:
Fees: On-line data downloads are free.
Metadata Reference Information:
Metadata Date: 20080521
Metadata Review Date: 20080521
Metadata Contact:
Contact Information:
Contact Organization Primary:
Contact Organization: DOC/NOAA/NESDIS/NCDC > National Climatic Data Center, NESDIS, NOAA, U.S. Department of Commerce
Contact Position: Customer Services Branch
Contact Address:
Address Type: mailing and physical
Address: 151 Patton Avenue
Address: Room 468
City: Asheville
State or Province: North Carolina
Postal Code: 28801-5001
Country: USA
Contact Voice Telephone: 828-271-4800
Contact TDD/TTY Telephone: 828-271-4010
Contact Facsimile Telephone: 828-271-4876
Contact Electronic Mail Address: ncdc.metadata@noaa.gov
Hours: 8:00 - 6:00 Eastern
Contact Instructions: http://www.ncdc.noaa.gov/oa/about/ncdccontacts.html
Metadata Standard Name: Content Standard for Digital Geospatial Metadata: Extensions for Remote Sensing Metadata
Metadata Standard Version: FGDC-STD-012-2002
Metadata Extensions:
Online Linkage: http://www.ngdc.noaa.gov/metadata/extensions/local_extensions.html
Profile Name: NGDC Extensions to FGDC Metadata
Metadata Extensions:
Online Linkage: http://www.fgdc.gov/standards/projects/FGDC-standards-projects/csdgm_rs_ex/MetadataRemoteSensingExtens.pdf
Online Linkage: http://www.fgdc.gov/standards/projects/FGDC-standards-projects/csdgm_rs_ex/remote-sensing-metadata
Profile Name: Content Standard for Digital Geospatial Metadata: Extensions for Remote Sensing Metadata, FGDC-STD-012-2002
Metadata Extensions:
Online Linkage: http://www.eis.noaa.gov/fgdc/fgdcleg.html
Profile Name: NOAA Supplemental Information in Description (NOAA legacy extension to FGDC)
Metadata Extensions:
Online Linkage: http://www.esri.com/metadata/esriprof80.html
Profile Name: ESRI Profile of the Content Standard for Digital Geospatial Metadata

Other markup

esri:
server:http://www.cpcgis.ncep.noaa.gov
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