Reliability of SM2RAIN precipitation datasets in comparison to gauge observations and hydrological modelling over arid regions,International Journal of Climatology

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Reliability of SM2RAIN precipitation datasets in comparison to gauge observations and hydrological modelling over arid regions
International Journal of Climatology ( IF 3.5 ) Pub Date : 2020-06-13 , DOI: 10.1002/joc.6704
Frédéric Satgé ₁ , Yawar Hussain ₂ , Jorge Molina‐Carpio ₃ , Ramiro Pillco ₃ , Coralie Laugner ₁ , Gulraiz Akhter ₄ , Marie‐Paule Bonnet ₁

Affiliation

Numerous satellite‐based precipitation datasets have been successively made available. Their precipitation estimates rely on clouds properties derived from microwave and thermal sensors in a so‐named ‘top‐down’ approach. Recently, a ‘bottom‐up’ approach to infer precipitation from soil moisture (SM) estimates has resulted in the release of two new precipitation datasets (P‐datasets). One uses satellite‐based SM estimates from the European Spatial Agency (ESA) Climate Change Initiative (CCI) (SM2RAIN‐CCI) while the other uses satellite‐based SM from European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) Advanced SCATterometer (ASCAT) (SM2RAIN‐ASCAT). This study assesses SM2RAIN‐ASCAT and ‐CCI reliability over two arid regions: Bolivian and Peruvian Altiplano and Pakistan (South Asia) using (a) direct comparisons with rain gauges and (b) testing the sensitivity of streamflow modelling to the P‐datasets. Selecting two different regions and different indicators helps to assess whether the P‐dataset reliability varies depending on the assessment method and location. For comparison purposes, the most reliable P‐datasets from the literature are also considered (IMERG‐E v.6, IMERG‐L v.6, IMERG‐F v.6, CHIRPS v.2 and MSWEP v.2.2). Compared to rain gauge observations and based on the modified Kling–Gupta Efficiency (KGE) values, the SM2RAIN‐ASCAT and ‐CCI are more accurate in the Altiplano than in Pakistan. This difference is explained by a more favourable physical context for satellite‐based SM estimates in the Altiplano. Over the Altiplano and despite an overall positive bias, SM2RAIN‐ASCAT describes rain gauges temporal dynamics as well as IMERG‐F v.6, CHIRPS v.2 and MSWEP v.2.2 and provides streamflow simulations very close to those obtained when using IMERG‐F v.6, CHIRPS v.2 and MSWEP v.2.2 as forcing data.

中文翻译：

与干旱地区雨量器观测和水文模拟相比，SM2RAIN降水数据集的可靠性

相继提供了许多基于卫星的降水数据集。他们的降水估计依赖于微波和热传感器以所谓的“自顶向下”方法得出的云特性。最近，一种“自下而上”的方法可以从土壤水分（SM）估算值中推断出降水量，从而发布了两个新的降水量数据集（P数据集）。一种使用来自欧洲空间局（ESA）气候变化倡议（CCI）（SM2RAIN-CCI）的基于卫星的SM估算，另一种使用来自欧洲气象卫星利用组织（EUMETSAT）的高级SCATterometer（ASCAT）的基于卫星的SM估算。）（SM2RAIN‐ASCAT）。这项研究评估了两个干旱地区的SM2RAIN‐ASCAT和‐CCI可靠性：玻利维亚和秘鲁的高原和巴基斯坦（南亚）使用（a）与雨量计的直接比较，以及（b）测试流模型对P数据集的敏感性。选择两个不同的区域和不同的指标有助于评估P数据集的可靠性是否因评估方法和位置而异。为了进行比较，还考虑了文献中最可靠的P数据集（IMERG-E v.6，IMERG-L v.6，IMERG-F v.6，CHIRPS v.2和MSWEP v.2.2）。与雨量计观测结果相比，并根据修正的Kling-Gupta效率（KGE）值，高原地区的SM2RAIN-ASCAT和‐CCI比巴基斯坦的更为准确。Altiplano中基于卫星的SM估计更有利的物理环境可以解释这种差异。在高原地区，尽管总体上存在积极偏见，

更新日期：2020-06-13

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