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Chapter V: Links and Resources

Table of Contents

TPW product sites

The NESDIS Operational Blended TPW Products:
main web site:

Latest Blended TPW Loops Specifically for Europe:
Blended TPW

Blended TPW Percent of Normal (Anomaly)

Experimental CIRA Blended TPW Products:
main web site:

Two experimental panels over western hemisphere (only TPW):

Experimental Layer Precipitable Water (LPW) Product from CIRA/Colorado State University
main web site - western hemisphere:

Morphed Integrated Microwave Imagery at University of Wisconsin CIMSS – TPW:

Operational NOAA/NESDIS GOES Sounder Product for U.S. and immediate offshore waters at:
or as an alternative:, then go to Soundings, Operational Products: Sounding DPI.

University of Wisconsin/CIMSS GOES Sounder Product Page at main web site that includes layer TPW:

NOAA/NESDIS satellite imagery page for NE Atlantic, NW Africa, West and portions of Central Europe: main web site:

NOAA-METOP AMSU TPW (no TPW overland):

NOAA-METOP Composite AMSU TPW loop (no TPW Overland):

DMSP SSMIS TPW (no TPW overland or in rain areas):

DMSP SSMIS TPW loop (no TPW overland or in rain areas):

Microwave Integrated Retrieval System (MIRS) TPW main web site:

EUMeTrain ePort:

Nowcasting and Very Short Range Forecasting SAF:

Case studies

Record-breaking snow in Moscow and Montreal in 2012 - a tale of two cities (29 November and 27 December 2012):

A series of thunderstorms cause dramatic flooding in Tuscany (12 November 2012):

Central Europe heavy rain event beginning on the night of 13-14 September 2012:

Cold front with severe thunderstorms brings an end to the 2012 Italian summer heat wave (26 August 2012):

Catastrophic Flash Flood on Madeira Island 2010:

GOES Sounder Instability/TPW Application Paper



NOAA - Earth System Research Laboratory: Atmospheric River Information Page

Microwave Remote Sensing: Overview, 2n Edition:

Clouds, Precipitation, & Water Vapour:

GOES-R - Baseline Product Description - TPW:

The ROM SAF Project:



Forsythe, et al., 2014: Future Journal of Operational Meteorology paper now in review

Boukabara, S.-A., et al., 2011: MiRS: An All-Weather 1DVAR Satellite Data Assimilation and Retrieval System. IEEE Trans. Geosci. Remote Sens., 49, 3249-3272

Ferraro, RR, S.J . Kusselson, and M. Colton, 1995: An Introduction to Passive Microwave Remote Sensing and its Applications to Meteorological Analysis and Forecasting. Natl. Wea. Dig., 22:3, 11-23.

Hayden, C.M., G.S. Wade, and T.J. Schmit, 1996: Derived Product Imagery from GOES-S. J. Appl. Meteor. , 35, 153-162.

Heil, J., 2000: 1999 NWS Field Assessment of GOES Sounder Products. NOAA/NWS/OM. 37

Menzel, w.P. , F.C. Holt, T.J. Schmit, RM. Aune, A.J.Schreiner, G.S. Wade, and D.G. Gray, 1995:

Application of GOES-S/9 Soundings to Weather Forecasting and Nowcasting. Bull. Amer. Meteor. Soc., 10, 2059-2077.

Scofield, RS., G.Vicente, and B. Rabin, 1995: The Use of Water Vapor (6.7 Micron), Precipitable Water, and Relative Humidity For Detecting Environments That Lead To Heavy Precipitation and Flash Floods. Preprints, 16th Conf on Weather Analysis and Forecasting, Phoenix, AZ, Amer. Meteor. Soc., 37-39.

Kidder, S.Q. and A.S. Jones, 2007: A blended satellite Total Precipitable Water product for operational forecasting. Journal of Atmospheric and Oceanic Tech., 20 pages. Pdf version

Kusselson, S.J., 1993: The operational use of passive microwave data to enhance precipitation forecasts. 13th Conference on Weather Analysis and Forecasting, Vienna, Virginia, AMS 434-438.

Kusselson, S.J., S. Kidder, J. Forsythe, A.S. Jones, and L. Zhao, 2009: An update on the operational implementation of Blended Total Precipitable Water (TPW) products. Preprints, 23rd Conference on Hydrology, Phoenix, AZ, Amer. Meteor. Soc., 8.5.

Forsythe, J., S. Kidder, S. Kusselson, A.S. Jones, and T.H. Vonder Haar, 2009: Increasing the land coverage of blended multisensor total precipitable water products for weather analysis. Preprints, 16th Conf. on Satellite Meteorology and Oceanography, Phoenix, AZ, Amer. Meteor. Soc., JP8.12. Available online.