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Precipitation Analysis from AMSU (Nowcasting SAF)
SMHI.
SMHI, Research Department, Atmospheric remote sensing.ORCID iD: 0000-0003-2138-4325
SMHI, Core Services.ORCID iD: 0000-0003-0960-1622
SMHI, Research Department, Atmospheric remote sensing.
1999 (English)Report (Other academic)
Abstract [en]

We describe a method to remotely sense precipitation and classify its intensity over water, coast, and land surfaces. This method is intended to be used in a nowcasting environment. It is based on data obtained from the Advanced Microwave Sounding Unit (AMSU) onboard NOAA-15. Each observation is assigned a probability to belong to four different classes namely precipitation- free, risk of precipitation, precipitation between 0.5 and 5 mm/h and precipitation higher than 5 mm/h. Since the method is designed to work over different surface types, it mainly relies on the scatteringsignal of precipitation-sized ice particles received at high frequencies.

For the calibration and validation of the method we use an eight month dataset of combined radar and AMSU-data obtained over the Baltic area. We campare results for the AMSU-B channels at 89 GHz and 150 GHz and find that the high frequency channel at 150 GHz allows for a much better discrimination of different types of precipitation than the 89 GHz channel. While precipitation-free areas as well as heavily precipitating areas (> 5mm/h) can be identified to a high accuracy, the intennediate classes are more ambiguous. This ambiguity stems from the ambiguity of the passive microwave observations as well as from the non-perfect matching of the different data sources and non-perfect radar adjustment. In addition to a statistical assessment of the method's accuracy, we present case studies to demonstrate its capabilities to classify different types of precipitation and to seemlessly work over highly structured, inhomogeneous surfaces.

Place, publisher, year, edition, pages
SMHI , 1999.
Series
Meteorology, ISSN 0283-7730 ; 93
National Category
Meteorology and Atmospheric Sciences
Research subject
Meteorology
Identifiers
URN: urn:nbn:se:smhi:diva-2360Local ID: Meteorologi, Rapporter, Serie MeteorologiOAI: oai:DiVA.org:smhi-2360DiVA, id: diva2:947653
Available from: 1999-05-13 Created: 2016-07-08 Last updated: 2020-05-04Bibliographically approved

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Type fulltextMimetype application/pdf

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Thoss, AnkeDybbroe, AdamMichelson, Daniel

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CiteExportLink to record
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