Validation of CloudSat-CPR Derived Precipitation Occurrence and Phase Estimates across Canada
Snowfall affects the terrestrial climate system at high latitudes through its impacts on local meteorology, freshwater resources and energy balance. Precise snowfall monitoring is essential for cold countries such as Canada, and particularly in temperature-sensitive regions such as the Arctic; howev...
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ftdoajarticles:oai:doaj.org/article:d15e3c8702a84e539442bf1ebd6e7a68 2024-01-14T10:04:19+01:00 Validation of CloudSat-CPR Derived Precipitation Occurrence and Phase Estimates across Canada Rithwik Kodamana Christopher G. Fletcher 2021-02-01T00:00:00Z https://doi.org/10.3390/atmos12030295 https://doaj.org/article/d15e3c8702a84e539442bf1ebd6e7a68 EN eng MDPI AG https://www.mdpi.com/2073-4433/12/3/295 https://doaj.org/toc/2073-4433 doi:10.3390/atmos12030295 2073-4433 https://doaj.org/article/d15e3c8702a84e539442bf1ebd6e7a68 Atmosphere, Vol 12, Iss 3, p 295 (2021) remote sensing CloudSat POSS snowfall arctic precipitation phase Meteorology. Climatology QC851-999 article 2021 ftdoajarticles https://doi.org/10.3390/atmos12030295 2023-12-17T01:45:12Z Snowfall affects the terrestrial climate system at high latitudes through its impacts on local meteorology, freshwater resources and energy balance. Precise snowfall monitoring is essential for cold countries such as Canada, and particularly in temperature-sensitive regions such as the Arctic; however, its size and remote location means the precipitation gauge network there is sparse. While satellite remote sensing of snowfall from instruments such as CloudSat-CPR offers a potential solution, satellite detection of precipitation phase has not been systematically evaluated across Canada. In this study, CloudSat-based precipitation occurrence and phase retrievals were validated at 26 stations across Canada maintained by Environment and Climate Change Canada (ECCC). Probability of Detection (POD), defined as the percentage agreement between coincident CloudSat and human-observed present weather information for precipitation (solid, liquid or no precipitation), and False Alarm Ratio (FAR) were used as the primary metrics for validation. The mean POD (FAR) for precipitation occurrence across Canada is 65.5% ± 4.3 (31.4% ± 5.1) and for no precipitation is 90.6% ± 1.4 (11% ± 2.5). The results show lower rates of detection under cloudier skies, in the presence of (freezing) drizzle and for lighter snowfall, which may be explained by a large number of false-positives due to CloudSat-CPR’s high instrumental sensitivity. When CloudSat correctly detects the occurrence of precipitation, it shows uniformly high POD (>80%) and low FAR (<10%) for classifying the phase of precipitation. Large databases of coincident ground and satellite measurements allow us to provide a new estimate of around 9% for the frequency of virga events, a factor of two smaller than a previous estimate for the Arctic. The results from this study show that CloudSat has useful accuracy in detecting precipitation occurrence and very high accuracy at classifying precipitation phase, over diverse climate zones across Canada. As such, there is ... Article in Journal/Newspaper Arctic Climate change Directory of Open Access Journals: DOAJ Articles Arctic Canada Atmosphere 12 3 295 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
remote sensing CloudSat POSS snowfall arctic precipitation phase Meteorology. Climatology QC851-999 |
spellingShingle |
remote sensing CloudSat POSS snowfall arctic precipitation phase Meteorology. Climatology QC851-999 Rithwik Kodamana Christopher G. Fletcher Validation of CloudSat-CPR Derived Precipitation Occurrence and Phase Estimates across Canada |
topic_facet |
remote sensing CloudSat POSS snowfall arctic precipitation phase Meteorology. Climatology QC851-999 |
description |
Snowfall affects the terrestrial climate system at high latitudes through its impacts on local meteorology, freshwater resources and energy balance. Precise snowfall monitoring is essential for cold countries such as Canada, and particularly in temperature-sensitive regions such as the Arctic; however, its size and remote location means the precipitation gauge network there is sparse. While satellite remote sensing of snowfall from instruments such as CloudSat-CPR offers a potential solution, satellite detection of precipitation phase has not been systematically evaluated across Canada. In this study, CloudSat-based precipitation occurrence and phase retrievals were validated at 26 stations across Canada maintained by Environment and Climate Change Canada (ECCC). Probability of Detection (POD), defined as the percentage agreement between coincident CloudSat and human-observed present weather information for precipitation (solid, liquid or no precipitation), and False Alarm Ratio (FAR) were used as the primary metrics for validation. The mean POD (FAR) for precipitation occurrence across Canada is 65.5% ± 4.3 (31.4% ± 5.1) and for no precipitation is 90.6% ± 1.4 (11% ± 2.5). The results show lower rates of detection under cloudier skies, in the presence of (freezing) drizzle and for lighter snowfall, which may be explained by a large number of false-positives due to CloudSat-CPR’s high instrumental sensitivity. When CloudSat correctly detects the occurrence of precipitation, it shows uniformly high POD (>80%) and low FAR (<10%) for classifying the phase of precipitation. Large databases of coincident ground and satellite measurements allow us to provide a new estimate of around 9% for the frequency of virga events, a factor of two smaller than a previous estimate for the Arctic. The results from this study show that CloudSat has useful accuracy in detecting precipitation occurrence and very high accuracy at classifying precipitation phase, over diverse climate zones across Canada. As such, there is ... |
format |
Article in Journal/Newspaper |
author |
Rithwik Kodamana Christopher G. Fletcher |
author_facet |
Rithwik Kodamana Christopher G. Fletcher |
author_sort |
Rithwik Kodamana |
title |
Validation of CloudSat-CPR Derived Precipitation Occurrence and Phase Estimates across Canada |
title_short |
Validation of CloudSat-CPR Derived Precipitation Occurrence and Phase Estimates across Canada |
title_full |
Validation of CloudSat-CPR Derived Precipitation Occurrence and Phase Estimates across Canada |
title_fullStr |
Validation of CloudSat-CPR Derived Precipitation Occurrence and Phase Estimates across Canada |
title_full_unstemmed |
Validation of CloudSat-CPR Derived Precipitation Occurrence and Phase Estimates across Canada |
title_sort |
validation of cloudsat-cpr derived precipitation occurrence and phase estimates across canada |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doi.org/10.3390/atmos12030295 https://doaj.org/article/d15e3c8702a84e539442bf1ebd6e7a68 |
geographic |
Arctic Canada |
geographic_facet |
Arctic Canada |
genre |
Arctic Climate change |
genre_facet |
Arctic Climate change |
op_source |
Atmosphere, Vol 12, Iss 3, p 295 (2021) |
op_relation |
https://www.mdpi.com/2073-4433/12/3/295 https://doaj.org/toc/2073-4433 doi:10.3390/atmos12030295 2073-4433 https://doaj.org/article/d15e3c8702a84e539442bf1ebd6e7a68 |
op_doi |
https://doi.org/10.3390/atmos12030295 |
container_title |
Atmosphere |
container_volume |
12 |
container_issue |
3 |
container_start_page |
295 |
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1788058875813953536 |