Convective rainfall rate multi-channel algorithm for Meteosat-7 and radar derived calibration matrices
Fuente:
Redalyc
Saved in:
| Main Author: | |
|---|---|
| Format: | Artículo científico |
| Language: | en |
| Published: |
Universidad Nacional Autónoma de México
2006
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1876485851726217216 |
|---|---|
| author | M. Manso |
| author_facet | M. Manso |
| contents | Convective rainfall rate multi-channel algorithm for Meteosat-7 and radar derived calibration matrices M. Manso A. Luque I. Gómez Biología CRR radar rainsat meteosat calibration matrices The CRR (Convective Rainfall Rate) algorithm was developed to detect intense mesoscale convective cellsand to screen the most probable precipitation associated. It estimates rainfall intensity using the three bandsof the Meteosat-7 and matrices calibrated with earth-based radars. Calibration matrices were performed following an accurate version of the Rainsat techniques but combining the infrared bands to detect convectiveclouds. Matrices were developed, up for the North of Europe, over the Baltic countries, with data from theradar of the Baltex Project provided by the SMHI (Swedish Meteorological and Hydrological Institute) andfor the South of Europe, over the Iberian Peninsula, with radar data as provided by the INM (SpanishMeteorological Institute). In the present research, the CRR calibration methodology is validated, an analysisof calibration matrices differences in both areas over Europe is detailed and CRR resulting images are verifiedin a qualitative manner using rainfall radar images as ground true. 2006 artículo científico 0187-6236 https://www.redalyc.org/articulo.oa?id=56519301 en http://www.redalyc.org/revista.oa?id=565 Atmósfera application/pdf Universidad Nacional Autónoma de México Atmósfera (México) Num.3 Vol.19 |
| format | Artículo científico |
| id | redalyc_56519301 |
| institution | Redalyc |
| language | en |
| publishDate | 2006 |
| publisher | Universidad Nacional Autónoma de México |
| spellingShingle | Convective rainfall rate multi-channel algorithm for Meteosat-7 and radar derived calibration matrices M. Manso Biología CRR radar rainsat meteosat calibration matrices Convective rainfall rate multi-channel algorithm for Meteosat-7 and radar derived calibration matrices M. Manso A. Luque I. Gómez Biología CRR radar rainsat meteosat calibration matrices The CRR (Convective Rainfall Rate) algorithm was developed to detect intense mesoscale convective cellsand to screen the most probable precipitation associated. It estimates rainfall intensity using the three bandsof the Meteosat-7 and matrices calibrated with earth-based radars. Calibration matrices were performed following an accurate version of the Rainsat techniques but combining the infrared bands to detect convectiveclouds. Matrices were developed, up for the North of Europe, over the Baltic countries, with data from theradar of the Baltex Project provided by the SMHI (Swedish Meteorological and Hydrological Institute) andfor the South of Europe, over the Iberian Peninsula, with radar data as provided by the INM (SpanishMeteorological Institute). In the present research, the CRR calibration methodology is validated, an analysisof calibration matrices differences in both areas over Europe is detailed and CRR resulting images are verifiedin a qualitative manner using rainfall radar images as ground true. 2006 artículo científico 0187-6236 https://www.redalyc.org/articulo.oa?id=56519301 en http://www.redalyc.org/revista.oa?id=565 Atmósfera application/pdf Universidad Nacional Autónoma de México Atmósfera (México) Num.3 Vol.19 |
| title | Convective rainfall rate multi-channel algorithm for Meteosat-7 and radar derived calibration matrices |
| topic | Biología CRR radar rainsat meteosat calibration matrices |
| url | https://www.redalyc.org/articulo.oa?id=56519301 |