Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019WR026259 |
Satellite Gravimetry Improves Seasonal Streamflow Forecast Initialization in Africa | |
Getirana, Augusto1,2; Jung, Hahn Chul1,3; Arsenault, Kristi1,4; Shukla, Shraddhanand5; Kumar, Sujay1; Peters-Lidard, Christa1; Maigari, Issoufou6; Mamane, Bako6 | |
2020-02-01 | |
发表期刊 | WATER RESOURCES RESEARCH |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2020 |
卷号 | 56期号:2 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; Niger |
英文摘要 | West Africa is one of the poorest regions in the world and highly vulnerable to extreme hydrological events due to the lack of reliable monitoring and forecast systems. For the first time, we demonstrate that initial hydrological conditions informed by satellite-based terrestrial water storage (TWS) estimates improve seasonal streamflow forecasts. TWS variability detected by the Gravity Recovery and Climate Experiment (GRACE) satellites is assimilated into a land surface model during 2003-2016 and used to initialize 6-month hindcasts (i.e., forecasts of past events) during West Africa's wet seasons. We find that GRACE data assimilation (DA) generally increases groundwater and soil moisture storage in the region, resulting in increased evapotranspiration and reduced total runoff. Total runoff is particularly lower at the headwaters of the Niger River, positively impacting streamflow simulations and hindcast initializations. Compared to simulations without GRACE-DA, hindcasts are notably improved at locations draining from large basin areas, in particular, over the Niger River basin, which is consistent with GRACE's coarse spatial resolution. The long memory of groundwater and deep soil moisture, two main TWS components updated by GRACE-DA, is reflected in prolonged improvements in the streamflow hindcasts. Model accuracy at Niamey, Niger, the most populated city where streamflow observations are available, improved up to 33% during the flood season. These new findings directly contribute to ongoing developments in food security, flood potential forecast, and water-related disaster warning systems for Africa. |
英文关键词 | seasonal forecast GRACE data assimilation terrestrial water storage streawmflow West Africa |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000535672800026 |
WOS关键词 | TERRESTRIAL WATER STORAGE ; GRACE DATA ASSIMILATION ; RADAR ALTIMETRY DATA ; LAND-SURFACE MODEL ; SOIL-MOISTURE ; WEST-AFRICA ; CLIMATE EXPERIMENT ; GRAVITY RECOVERY ; IN-SITU ; BASIN |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/280493 |
专题 | 资源环境科学 |
作者单位 | 1.NASA, Hydrol Sci Lab, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA; 2.Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20742 USA; 3.Sci Syst & Applicat Inc, Lanham, MD USA; 4.Sci Applicat Int Corp, Reston, VA USA; 5.Univ Calif Santa Barbara, Climate Hazards Ctr, Santa Barbara, CA 93106 USA; 6.Ctr Reg AGRHYMET, Niamey, Niger |
推荐引用方式 GB/T 7714 | Getirana, Augusto,Jung, Hahn Chul,Arsenault, Kristi,et al. Satellite Gravimetry Improves Seasonal Streamflow Forecast Initialization in Africa[J]. WATER RESOURCES RESEARCH,2020,56(2). |
APA | Getirana, Augusto.,Jung, Hahn Chul.,Arsenault, Kristi.,Shukla, Shraddhanand.,Kumar, Sujay.,...&Mamane, Bako.(2020).Satellite Gravimetry Improves Seasonal Streamflow Forecast Initialization in Africa.WATER RESOURCES RESEARCH,56(2). |
MLA | Getirana, Augusto,et al."Satellite Gravimetry Improves Seasonal Streamflow Forecast Initialization in Africa".WATER RESOURCES RESEARCH 56.2(2020). |
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