Using CHIRPS Dataset to Assess Wet and Dry Conditions along the Semiarid Central-Western Argentina
المؤلفون المشاركون
Rivera, Juan A.
Hinrichs, Sofía
Marianetti, Georgina
المصدر
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-18، 18ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-04-04
دولة النشر
مصر
عدد الصفحات
18
التخصصات الرئيسية
الملخص EN
The Climate Hazards group Infrared Precipitation with Stations (CHIRPS) dataset was conceived as a tool for monitoring drought and environmental change over land.
Recent validation efforts along South America have assessed its suitability for reproducing the main spatial and temporal features of precipitation.
Nevertheless, little has been done regarding the ability of CHIRPS for the assessment of wet and dry conditions, particularly in areas where in situ precipitation records are scarce.
In this paper, we investigated the performance of CHIRPS for monitoring wet and dry events along the semiarid Central-Western Argentina.
Using the Standardized Precipitation Index (SPI), we compared the CHIRPS database with records from 49 meteorological stations along the study area for the period 1987–2016.
Results indicate that the CHIRPS dataset adequately reproduced the temporal variability of SPI on multiple timescales (1 month, 3 months, and 6 months), particularly in the region dominated by warm season precipitation.
The large overestimation of the seasonal precipitation in the region dominated by cold season precipitation can introduce errors that are reflected in the performance of CHIRPS over the western portion of the domain.
The frequency of wet and dry classes was accurately reproduced by CHIRPS on timescales larger than 1 month (SPI1), given the existence of a wet bias that produces an underestimation of the frequency of zero values.
This bias is further translated to the evaluation of the SPI1 during the spatial and temporal assessment of historical dry (1998) and wet (2016) events, especially for the classification of extreme dry/wet months.
The results from the evaluation indicate that CHIRPS is a suitable tool for assessing dry and wet conditions for timescales longer than 1 month and can support decision-making process within the hydrometeorological agencies over the region.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Rivera, Juan A.& Hinrichs, Sofía& Marianetti, Georgina. 2019. Using CHIRPS Dataset to Assess Wet and Dry Conditions along the Semiarid Central-Western Argentina. Advances in Meteorology،Vol. 2019, no. 2019, pp.1-18.
https://search.emarefa.net/detail/BIM-1118784
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Rivera, Juan A.…[et al.]. Using CHIRPS Dataset to Assess Wet and Dry Conditions along the Semiarid Central-Western Argentina. Advances in Meteorology No. 2019 (2019), pp.1-18.
https://search.emarefa.net/detail/BIM-1118784
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Rivera, Juan A.& Hinrichs, Sofía& Marianetti, Georgina. Using CHIRPS Dataset to Assess Wet and Dry Conditions along the Semiarid Central-Western Argentina. Advances in Meteorology. 2019. Vol. 2019, no. 2019, pp.1-18.
https://search.emarefa.net/detail/BIM-1118784
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1118784
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر