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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Main Authors: Naser Izadi, Elaheh Ghasemi Karakani, Abbas Ranjbar Saadatabadi, Aliakbar Shamsipour, Ebrahim Fattahi, Maral Habibi
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/13/18/2538
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spelling 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
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