Evaluation of ERA5 Precipitation Accuracy Based on Various Time Scales over Iran during 2000–2018
In regional studies, reanalysis datasets can extend precipitation time series with insufficient observations. In the present study, the ERA5 precipitation dataset was compared to observational datasets from meteorological stations in nine different precipitation zones of Iran (0.125° × 0.125° grid b...
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doaj-01a905255cb74d278829383298bf3a462021-09-26T01:38:56ZengMDPI AGWater2073-44412021-09-01132538253810.3390/w13182538Evaluation of ERA5 Precipitation Accuracy Based on Various Time Scales over Iran during 2000–2018Naser Izadi0Elaheh Ghasemi Karakani1Abbas Ranjbar Saadatabadi2Aliakbar Shamsipour3Ebrahim Fattahi4Maral Habibi5Faculty of Geography, University of Tehran, Tehran 1417935840, IranFaculty of Geography, University of Tehran, Tehran 1417935840, IranAtmospheric Science & Meteorological Research Center (ASMERC), Tehran 1638514977, IranFaculty of Geography, University of Tehran, Tehran 1417935840, IranAtmospheric Science & Meteorological Research Center (ASMERC), Tehran 1638514977, IranDepartment of Geography and Regional Science, University of Graz, 8010 Graz, AustriaIn regional studies, reanalysis datasets can extend precipitation time series with insufficient observations. In the present study, the ERA5 precipitation dataset was compared to observational datasets from meteorological stations in nine different precipitation zones of Iran (0.125° × 0.125° grid box) for the period 2000–2018, and measurement criteria and skill detection criteria were applied to analyze the datasets. The results of the daily analysis revealed that the correlation between ERA5 and observed precipitation were larger than 0.5 at 90% of stations. Also, The daily standard relative bias indicated that precipitation was overestimated in zone 6. As detection criteria, the frequency bias index (FBI) and proportion correct (PC) showed that the ERA5 data could capture daily precipitation events. Correlation confidence comparisons between the ERA5 and observational time series at daily, monthly, and seasonal scales revealed that the correlation confidence was higher at monthly and seasonal scales. The standard relative bias results at monthly and seasonal scales followed the daily relative bias results, and most of the ERA5 underestimations during the summer belonged to zone 1 in the coastal area of the Caspian Sea with convective precipitation. In addition, some complex mountainous regions were associated with overestimated precipitation, especially in northwest Iran (zone 6) in different time scales.https://www.mdpi.com/2073-4441/13/18/2538ERA5precipitationIranseasonalmonthlydaily |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Naser Izadi Elaheh Ghasemi Karakani Abbas Ranjbar Saadatabadi Aliakbar Shamsipour Ebrahim Fattahi Maral Habibi |
spellingShingle |
Naser Izadi Elaheh Ghasemi Karakani Abbas Ranjbar Saadatabadi Aliakbar Shamsipour Ebrahim Fattahi Maral Habibi Evaluation of ERA5 Precipitation Accuracy Based on Various Time Scales over Iran during 2000–2018 Water ERA5 precipitation Iran seasonal monthly daily |
author_facet |
Naser Izadi Elaheh Ghasemi Karakani Abbas Ranjbar Saadatabadi Aliakbar Shamsipour Ebrahim Fattahi Maral Habibi |
author_sort |
Naser Izadi |
title |
Evaluation of ERA5 Precipitation Accuracy Based on Various Time Scales over Iran during 2000–2018 |
title_short |
Evaluation of ERA5 Precipitation Accuracy Based on Various Time Scales over Iran during 2000–2018 |
title_full |
Evaluation of ERA5 Precipitation Accuracy Based on Various Time Scales over Iran during 2000–2018 |
title_fullStr |
Evaluation of ERA5 Precipitation Accuracy Based on Various Time Scales over Iran during 2000–2018 |
title_full_unstemmed |
Evaluation of ERA5 Precipitation Accuracy Based on Various Time Scales over Iran during 2000–2018 |
title_sort |
evaluation of era5 precipitation accuracy based on various time scales over iran during 2000–2018 |
publisher |
MDPI AG |
series |
Water |
issn |
2073-4441 |
publishDate |
2021-09-01 |
description |
In regional studies, reanalysis datasets can extend precipitation time series with insufficient observations. In the present study, the ERA5 precipitation dataset was compared to observational datasets from meteorological stations in nine different precipitation zones of Iran (0.125° × 0.125° grid box) for the period 2000–2018, and measurement criteria and skill detection criteria were applied to analyze the datasets. The results of the daily analysis revealed that the correlation between ERA5 and observed precipitation were larger than 0.5 at 90% of stations. Also, The daily standard relative bias indicated that precipitation was overestimated in zone 6. As detection criteria, the frequency bias index (FBI) and proportion correct (PC) showed that the ERA5 data could capture daily precipitation events. Correlation confidence comparisons between the ERA5 and observational time series at daily, monthly, and seasonal scales revealed that the correlation confidence was higher at monthly and seasonal scales. The standard relative bias results at monthly and seasonal scales followed the daily relative bias results, and most of the ERA5 underestimations during the summer belonged to zone 1 in the coastal area of the Caspian Sea with convective precipitation. In addition, some complex mountainous regions were associated with overestimated precipitation, especially in northwest Iran (zone 6) in different time scales. |
topic |
ERA5 precipitation Iran seasonal monthly daily |
url |
https://www.mdpi.com/2073-4441/13/18/2538 |
work_keys_str_mv |
AT naserizadi evaluationofera5precipitationaccuracybasedonvarioustimescalesoveriranduring20002018 AT elahehghasemikarakani evaluationofera5precipitationaccuracybasedonvarioustimescalesoveriranduring20002018 AT abbasranjbarsaadatabadi evaluationofera5precipitationaccuracybasedonvarioustimescalesoveriranduring20002018 AT aliakbarshamsipour evaluationofera5precipitationaccuracybasedonvarioustimescalesoveriranduring20002018 AT ebrahimfattahi evaluationofera5precipitationaccuracybasedonvarioustimescalesoveriranduring20002018 AT maralhabibi evaluationofera5precipitationaccuracybasedonvarioustimescalesoveriranduring20002018 |
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