Space-time variability of hydrological drought and wetness in Iran using NCEP/NCAR and GPCC datasets
Main Author: | |
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Publication Date: | 2010 |
Other Authors: | , , |
Format: | Article |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10400.5/4863 |
Summary: | Abstract. Space-time variability of hydrological drought and wetness over Iran is investigated using the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis and the Global Precipitation Climatology Centre (GPCC) dataset for the common period 1948–2007. The aim is to complement previous studies on the detection of long-term trends in drought/wetness time series and on the applicability of reanalysis data for drought monitoring in Iran. Climate conditions of the area are assessed through the Standardized Precipitation Index (SPI) on 24-month time scale, while Principal Component Analysis (PCA) and Varimax rotation are used for investigating drought/wetness variability, and drought regionalization, respectively. Singular Spectrum Analysis (SSA) is applied to the time series of interest to extract the leading nonlinear components and compare them with linear fittings. Differences in drought and wetness area coverage resulting from the two datasets are discussed also in relation to the change occurred in recent years. NCEP/NCAR and GPCC are in good agreement in identifying four sub-regions as principal spatial modes of drought variability. However, the climate variability in each area is not univocally represented by the two datasets: a good agreement is found for southeastern and north-western regions, while noticeable discrepancies occur for central and Caspian sea regions. A comparison with NCEP Reanalysis II for the period 1979–2007, seems to exclude that the discrepancies are merely due to the introduction of satellite data into the reanalysis assimilation scheme |
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Space-time variability of hydrological drought and wetness in Iran using NCEP/NCAR and GPCC datasetsdroughtwetnessNCEP/NCARGPCCAbstract. Space-time variability of hydrological drought and wetness over Iran is investigated using the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis and the Global Precipitation Climatology Centre (GPCC) dataset for the common period 1948–2007. The aim is to complement previous studies on the detection of long-term trends in drought/wetness time series and on the applicability of reanalysis data for drought monitoring in Iran. Climate conditions of the area are assessed through the Standardized Precipitation Index (SPI) on 24-month time scale, while Principal Component Analysis (PCA) and Varimax rotation are used for investigating drought/wetness variability, and drought regionalization, respectively. Singular Spectrum Analysis (SSA) is applied to the time series of interest to extract the leading nonlinear components and compare them with linear fittings. Differences in drought and wetness area coverage resulting from the two datasets are discussed also in relation to the change occurred in recent years. NCEP/NCAR and GPCC are in good agreement in identifying four sub-regions as principal spatial modes of drought variability. However, the climate variability in each area is not univocally represented by the two datasets: a good agreement is found for southeastern and north-western regions, while noticeable discrepancies occur for central and Caspian sea regions. A comparison with NCEP Reanalysis II for the period 1979–2007, seems to exclude that the discrepancies are merely due to the introduction of satellite data into the reanalysis assimilation schemeEuropean Geosciences UnionRepositório da Universidade de LisboaRaziei, T.Bordi, I.Pereira, L.S.Sutera, A.2012-11-23T15:58:42Z20102010-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/4863eng"Hydrology and Earth System Sciences". ISSN 1027-5606. 14 (2010) 1919-19301027-5606info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-03-17T16:01:08Zoai:repositorio.ulisboa.pt:10400.5/4863Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T04:00:07.830672Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Space-time variability of hydrological drought and wetness in Iran using NCEP/NCAR and GPCC datasets |
title |
Space-time variability of hydrological drought and wetness in Iran using NCEP/NCAR and GPCC datasets |
spellingShingle |
Space-time variability of hydrological drought and wetness in Iran using NCEP/NCAR and GPCC datasets Raziei, T. drought wetness NCEP/NCAR GPCC |
title_short |
Space-time variability of hydrological drought and wetness in Iran using NCEP/NCAR and GPCC datasets |
title_full |
Space-time variability of hydrological drought and wetness in Iran using NCEP/NCAR and GPCC datasets |
title_fullStr |
Space-time variability of hydrological drought and wetness in Iran using NCEP/NCAR and GPCC datasets |
title_full_unstemmed |
Space-time variability of hydrological drought and wetness in Iran using NCEP/NCAR and GPCC datasets |
title_sort |
Space-time variability of hydrological drought and wetness in Iran using NCEP/NCAR and GPCC datasets |
author |
Raziei, T. |
author_facet |
Raziei, T. Bordi, I. Pereira, L.S. Sutera, A. |
author_role |
author |
author2 |
Bordi, I. Pereira, L.S. Sutera, A. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Raziei, T. Bordi, I. Pereira, L.S. Sutera, A. |
dc.subject.por.fl_str_mv |
drought wetness NCEP/NCAR GPCC |
topic |
drought wetness NCEP/NCAR GPCC |
description |
Abstract. Space-time variability of hydrological drought and wetness over Iran is investigated using the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis and the Global Precipitation Climatology Centre (GPCC) dataset for the common period 1948–2007. The aim is to complement previous studies on the detection of long-term trends in drought/wetness time series and on the applicability of reanalysis data for drought monitoring in Iran. Climate conditions of the area are assessed through the Standardized Precipitation Index (SPI) on 24-month time scale, while Principal Component Analysis (PCA) and Varimax rotation are used for investigating drought/wetness variability, and drought regionalization, respectively. Singular Spectrum Analysis (SSA) is applied to the time series of interest to extract the leading nonlinear components and compare them with linear fittings. Differences in drought and wetness area coverage resulting from the two datasets are discussed also in relation to the change occurred in recent years. NCEP/NCAR and GPCC are in good agreement in identifying four sub-regions as principal spatial modes of drought variability. However, the climate variability in each area is not univocally represented by the two datasets: a good agreement is found for southeastern and north-western regions, while noticeable discrepancies occur for central and Caspian sea regions. A comparison with NCEP Reanalysis II for the period 1979–2007, seems to exclude that the discrepancies are merely due to the introduction of satellite data into the reanalysis assimilation scheme |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010 2010-01-01T00:00:00Z 2012-11-23T15:58:42Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
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publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.5/4863 |
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http://hdl.handle.net/10400.5/4863 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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"Hydrology and Earth System Sciences". ISSN 1027-5606. 14 (2010) 1919-1930 1027-5606 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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European Geosciences Union |
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European Geosciences Union |
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