Development of a daily gridded precipitation data set for the Middle East

Yatagai, Akiyo; Xie, Pingping; Alpert, Pinhas

doi:10.5194/adgeo-12-165-2008

Cited by 70 publications

(63 citation statements)

References 14 publications

(18 reference statements)

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“…Hence, we decided not to use the GSOD if there were other source data in the same 0.05-degree grid box. This strategy differed from that used in previous studies (Xie et al 2007;Yatagai et al 2008), which did not use a GTS for an entire country if off-line (non-GTS) data were available for the country.…”

Section: Qc and Determination Of A Strategy For Data Selectionmentioning

confidence: 77%

“…Interpolate (5) onto a 0.05-degree grid using the same method used in (3) 7. Regrid 0.05-degree data (6) to 0.25-and 0.5-degree products using the area-weighted mean The strategy is almost the same as that used by Xie et al (2007), and this algorithm (APHRO_V0902) is similar to APHRO_ME_V0804 developed by Yatagai et al (2008), except for steps (1) (6) in creating the daily precipitation climatology. In addition to using the WORLDCLIM as a base for bias correction of gauge-sparse areas, some modifications are introduced to the interpolation method.…”

Section: Algorithm Stepsmentioning

confidence: 99%

“…We have released V0804 products that cover 23 years for East Asia, Middle East (Yatagai et al 2008) and Russia (Takashima et al 2009), but the algorithms are not the same among the products for the three domains. We use the same scheme, which is described in Section 2, for the three regions in V0902, and create a longer period dataset.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A 44-Year Daily Gridded Precipitation Dataset for Asia Based on a Dense Network of Rain Gauges

Yatagai

Arakawa²,

Kamiguchi³

et al. 2009

SOLA

488

359

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A daily gridded precipitation dataset for 1961 2004 was created by collecting rain gauge observation data across Asia through the activities of the Asian PrecipitationHighly Resolved Observational Data Integration Towards the Evaluation of Water Resources (APHRODITE) project. Our number of valid stations was between 5000 and 12,000, representing 2.3 to 4.5 times the data available through the Global Telecommunication System network, which were used for most daily grid precipitation products. APHRODITE's daily gridded precipitation (APHRO_V0902) is the only long-term (1961 onward) continental-scale daily product that contains a dense network of daily rain gauge data for Asia including the Himalayas and mountainous areas in the Middle East. The product contributes to studies such as the evaluation of Asian water resources, diagnosis of climate change, statistical downscaling, and verification of numerical model simulation and high-resolution precipitation estimates using satellites. We released APHRO_ V0902 datasets for Monsoon Asia, Russia and the Middle East (on 0.5°× 0.5°and 0.25°× 0.25°grids) at http://www. chikyu.ac.jp/precip/. Herein, we show the algorithm and input data of APHRO_V0902.

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Section: Qc and Determination Of A Strategy For Data Selectionmentioning

confidence: 77%

Section: Algorithm Stepsmentioning

confidence: 99%

See 1 more Smart Citation

A 44-Year Daily Gridded Precipitation Dataset for Asia Based on a Dense Network of Rain Gauges

Yatagai

Arakawa²,

Kamiguchi³

et al. 2009

SOLA

488

359

View full text Add to dashboard Cite

show abstract

“…9(b) do not satisfy the WMO recommendation. APHRODITE in Iran was developed by using a relatively dense network of observations provided by the Islamic Republic of Iran Meteorological Organization (Yatagai et al 2008). However, there are still many areas where precipitation is ungauged (the grids of 0% in Fig.…”

Section: Annual Runoffmentioning

confidence: 99%

“…As local data are not available, global datasets are used. We used the Asian Precipitation Highly Resolved Observational Data Integration Towards Evaluation (APHRODITE) gridded precipitation dataset based on a dense network of daily raingauge data throughout Asia, including the Middle East (Yatagai et al 2008(Yatagai et al , 2012. Climate forcing data from the Climatic Research Unit time series (CRU-TS) and average climatology (CRU-CL) and the normalized difference vegetation index (NDVI) data from the Global Inventory Modelling and Mapping Studies (GIMMS) were used for the PET estimation by the SW model.…”

Section: Data Usedmentioning

confidence: 99%

Challenges of hydrological analysis for water resource development in semi-arid mountainous regions: case study in Iran

Hishinuma

Takeuchi

Magome

2014

Hydrological Sciences Journal

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This study modified the BTOPMC (Block-wise TOPMODEL with the Muskingum-Cunge routing method) distributed hydrological model to make it applicable to semi-arid regions by introducing an adjustment coefficient for infiltration capacity of the soil surface, and then applied it to two catchments above the dams in the Karun River basin, located in semi-arid mountain ranges in Iran. The application results indicated that the introduced modification improved the model performance for simulating flood peaks generated by infiltration excess overland runoff at a daily time scale. The modified BTOPMC was found to fulfil the need to reproduce important signatures of basin hydrology for water resource development, such as annual runoff, seasonal runoff, low flows and flood flows. However, it was also very clear that effective model use was significantly constrained by the scarcity of ground-gauged precipitation data. Considerable efforts to improve the precipitation data acquisition should precede water resource development planning.Key words BTOPMC; water resource development; infiltration excess overland runoff; snowpack and snowmelt; data scarcity; semi-arid; Karun River basin; Iran Défis de l'analyse hydrologique pour le développement des ressources en eau dans les régions montagneuses semi-arides : étude de cas en Iran Résumé Dans cette étude, nous avons modifié le modèle hydrologique distribué BTOPMC (Block-wise TOPMODEL with the Muskingum-Cunge routing method -TOPMODEL par bloc avec méthode de routage Muskingum-Cunge) pour le rendre applicable à des régions semi-arides, en introduisant un coefficient d'ajustement de la capacité d'infiltration de la surface du sol. Nous l'avons ensuite appliqué à deux bassins versants situés en amont de barrages sur le bassin de la rivière Karun, dans des zones montagneuses semiarides d'Iran. Les résultats de cette application ont indiqué que la modification introduite a amélioré la performance du modèle pour simuler les pointes de crue générées par ruissellement de surface par dépassement de la capacité d'infiltration, au pas de temps journalier. Nous avons trouvé que le modèle BTOPMC modifié répond au besoin de reproduction des signatures importantes de l'hydrologie du bassin pour le développement des ressources en eau, telles que les écoulements annuels ou saisonniers, les débits d'étiage ou de crue. Cependant, il est apparu également très clairement que l'utilisation concrète du modèle a été considérablement contrainte par la rareté des données de précipitations issues de postes au sol. Des efforts considérables devraient être faits pour améliorer l'acquisition de données de précipitations préalablement à la planification du développement de la ressource en eau.Mots clefs BTOPMC ; développement des ressources en eau ; ruissellement de surface par dépassement de la capacité d'infiltration ; manteau neigeux et fonte nivale ; rareté des données ; semi-aride ; bassin de la rivière Karun ; Iran

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Impacts of urbanization on Indian summer monsoon rainfall extremes

et al. 2015

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Urban areas have different climatology with respect to their rural surroundings. Though urbanization is a worldwide phenomenon, it is especially prevalent in India, where urban areas have experienced an unprecedented rate of growth over the last 30 years. Here we take up an observational study to understand the influence of urbanization on the characteristics of precipitation (specifically extremes) in India. We identify 42 urban regions and compare their extreme rainfall characteristics with those of surrounding rural areas. We observe that, on an overall scale, the urban signatures on extreme rainfall are not prominently and consistently visible, but they are spatially nonuniform. Zonal analysis reveals significant impacts of urbanization on extreme rainfall in central and western regions of India. An additional examination, to understand the influences of urbanization on heavy rainfall climatology, is carried with station level data using a statistical method, quantile regression. This is performed for the most populated city of India, Mumbai, in pair with a nearby nonurban area, Alibaug; both having similar geographic location. The derived extreme rainfall regression quantiles reveal the sensitivity of extreme rainfall events to the increased urbanization. Overall the study identifies the climatological zones in India, where increased urbanization affects regional rainfall pattern and extremes, with a detailed case study of Mumbai. This also calls attention to the need of further experimental investigation, for the identification of the key climatological processes, in different regions of India, affected by increased urbanization.

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Development of a daily gridded precipitation data set for the Middle East

Cited by 70 publications

References 14 publications

A 44-Year Daily Gridded Precipitation Dataset for Asia Based on a Dense Network of Rain Gauges

A 44-Year Daily Gridded Precipitation Dataset for Asia Based on a Dense Network of Rain Gauges

Challenges of hydrological analysis for water resource development in semi-arid mountainous regions: case study in Iran

Impacts of urbanization on Indian summer monsoon rainfall extremes

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