Snowfall rate estimation using C‐band polarimetric radars
ABSTRACT: Radar quantitative precipitation estimation plays an important role in weather forecasting, nowcasting and hydrological models. This study evaluates the Sekhon and Srivastava (1970) snow water equivalent ( SWE ) algorithm currently implemented by the Canadian Radar Network of Environment a...
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crwiley:10.1002/met.1613 2024-06-02T08:10:42+00:00 Snowfall rate estimation using C‐band polarimetric radars Hassan, Diar Taylor, Peter A. Isaac, George A. NSERC 2017 http://dx.doi.org/10.1002/met.1613 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fmet.1613 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/met.1613 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Meteorological Applications volume 24, issue 1, page 142-156 ISSN 1350-4827 1469-8080 journal-article 2017 crwiley https://doi.org/10.1002/met.1613 2024-05-03T11:34:07Z ABSTRACT: Radar quantitative precipitation estimation plays an important role in weather forecasting, nowcasting and hydrological models. This study evaluates the Sekhon and Srivastava (1970) snow water equivalent ( SWE ) algorithm currently implemented by the Canadian Radar Network of Environment and Climate Change Canada, suggests an improved algorithm and also evaluates the ability of polarimetric radars in estimating SWE . The radar data were collected from the dual polarimetric King City radar ( CWKR ) near Toronto, Ontario, and the Doppler Holyrood radar ( CWTP ) in Newfoundland. SWE data were collected at Oakville, Ontario, at Pearson International Airport ( CYYZ ), Toronto, Ontario, and at Mount Pearl, Newfoundland. The ground observations show that the polarimetric variables could be used to infer a few of the microphysical processes during snowfall. It is suggested that the co‐polar correlation co‐efficient ( ρ hv ) could be sensitive to the size ranges of different snow habits. Also, higher differential reflectivity ( Z dr ) values were measured with large aggregates. The results show a severe underestimation of SWE rates by the Sekhon and Srivastava algorithm. One hour accumulations from each site were used to develop SWE ( Z eH ) and SWE ( Z eH , Z DR ) algorithms ( Z eH and Z DR are the reflectivity factor and differential reflectivity, respectively). Similarly, algorithms were developed using SWE at 10 min intervals from CYYZ and Mount Pearl but these algorithms appeared to overestimate SWE . The hourly SWE accumulations from the three sites were combined to produce an additional SWE ( Z eH ) algorithm which showed better statistical results. A modest difference was found between the conventional and polarimetric algorithms for estimating snowfall amounts ( SWE ). Article in Journal/Newspaper Newfoundland Wiley Online Library Canada Meteorological Applications 24 1 142 156 |
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Wiley Online Library |
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language |
English |
description |
ABSTRACT: Radar quantitative precipitation estimation plays an important role in weather forecasting, nowcasting and hydrological models. This study evaluates the Sekhon and Srivastava (1970) snow water equivalent ( SWE ) algorithm currently implemented by the Canadian Radar Network of Environment and Climate Change Canada, suggests an improved algorithm and also evaluates the ability of polarimetric radars in estimating SWE . The radar data were collected from the dual polarimetric King City radar ( CWKR ) near Toronto, Ontario, and the Doppler Holyrood radar ( CWTP ) in Newfoundland. SWE data were collected at Oakville, Ontario, at Pearson International Airport ( CYYZ ), Toronto, Ontario, and at Mount Pearl, Newfoundland. The ground observations show that the polarimetric variables could be used to infer a few of the microphysical processes during snowfall. It is suggested that the co‐polar correlation co‐efficient ( ρ hv ) could be sensitive to the size ranges of different snow habits. Also, higher differential reflectivity ( Z dr ) values were measured with large aggregates. The results show a severe underestimation of SWE rates by the Sekhon and Srivastava algorithm. One hour accumulations from each site were used to develop SWE ( Z eH ) and SWE ( Z eH , Z DR ) algorithms ( Z eH and Z DR are the reflectivity factor and differential reflectivity, respectively). Similarly, algorithms were developed using SWE at 10 min intervals from CYYZ and Mount Pearl but these algorithms appeared to overestimate SWE . The hourly SWE accumulations from the three sites were combined to produce an additional SWE ( Z eH ) algorithm which showed better statistical results. A modest difference was found between the conventional and polarimetric algorithms for estimating snowfall amounts ( SWE ). |
author2 |
NSERC |
format |
Article in Journal/Newspaper |
author |
Hassan, Diar Taylor, Peter A. Isaac, George A. |
spellingShingle |
Hassan, Diar Taylor, Peter A. Isaac, George A. Snowfall rate estimation using C‐band polarimetric radars |
author_facet |
Hassan, Diar Taylor, Peter A. Isaac, George A. |
author_sort |
Hassan, Diar |
title |
Snowfall rate estimation using C‐band polarimetric radars |
title_short |
Snowfall rate estimation using C‐band polarimetric radars |
title_full |
Snowfall rate estimation using C‐band polarimetric radars |
title_fullStr |
Snowfall rate estimation using C‐band polarimetric radars |
title_full_unstemmed |
Snowfall rate estimation using C‐band polarimetric radars |
title_sort |
snowfall rate estimation using c‐band polarimetric radars |
publisher |
Wiley |
publishDate |
2017 |
url |
http://dx.doi.org/10.1002/met.1613 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fmet.1613 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/met.1613 |
geographic |
Canada |
geographic_facet |
Canada |
genre |
Newfoundland |
genre_facet |
Newfoundland |
op_source |
Meteorological Applications volume 24, issue 1, page 142-156 ISSN 1350-4827 1469-8080 |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1002/met.1613 |
container_title |
Meteorological Applications |
container_volume |
24 |
container_issue |
1 |
container_start_page |
142 |
op_container_end_page |
156 |
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1800756607831769088 |