利用高分辨率水文模型提高GRACE卫星的空间分辨率

doi:10.13474/j.cnki.11-2246.2022.0230

测绘通报 ›› 2022, Vol. 0 ›› Issue (8): 41-47.doi: 10.13474/j.cnki.11-2246.2022.0230

利用高分辨率水文模型提高GRACE卫星的空间分辨率

刘红亮¹, 张刚强^2,3, 张大胜⁴, 尹文杰^2,3, 孟详博⁴

1. 邯郸市水资源管理中心, 河北邯郸 056001;
2. 中国空间技术研究院钱学森空间技术实验室, 北京 100094;
3. 中国科学院精密测量科学与技术创新研究院大地测量与地球动力学国家重点实验室, 湖北武汉 430071;
4. 河北省水利科学研究院, 河北石家庄 050051

收稿日期:2022-02-17 修回日期:2022-06-20 发布日期:2022-09-01
通讯作者: 张刚强。E-mail:211804020040@home.hpu.edu.cn
作者简介:刘红亮(1976-),男,高级工程师,研究方向为水资源配置。E-mail:13932080971@163.com
基金资助:
河北省重点研发计划(21374201D);大地测量与地球动力学国家重点试验室开放基金(SKLGED2021-1-3)

Improving the spatial resolution of GRACE satellites based on high-resolution hydrological simulations

LIU Hongliang¹, ZHANG Gangqiang^2,3, ZHANG Dasheng⁴, YIN Wenjie^2,3, MENG Xiangbo⁴

1. Handan Water Resources Management Center, Handan 056001, China;
2. Qian Xuesen Laboratory of Space Technology, China Academy of Space Technology, Beijing 100094, China;
3. China State Key Laboratory of Geodesy and Earth's Dynamics, Innovation Academy for Precision Measurement Science and Technology, Wuhan 430071, China;
4. Hebei Provincial Institute of Water Science, Shijiazhuang 050051, China

Received:2022-02-17 Revised:2022-06-20 Published:2022-09-01

摘要/Abstract

摘要： 为克服GRACE卫星数据空间分辨率粗糙的局限性,本文以高空间分辨率的PCR-GLOBWB数据为基础,构建了加权、乘权及误差分配降尺度方法,将GRACE卫星在河北省的水储量变化数据的空间分辨率由0.50°提高至0.05°。结果表明:加权降尺度方法不仅保留了GRACE数据的原始空间分布特征,还刻画了局部细节特征;误差分配降尺度方法结果较为理想,但在格网交界处的信号存在跳跃现象;乘权降尺度方法表现最差,与GRACE存在明显差异。经实测数据验证可知,加权降尺度方法与实测值拟合程度最好,相关系数最高可达0.81。本文为获取河北省高空间分辨率地下水储量数据提供了有效保障。

关键词: GRACE卫星, PCR-GLOBWB, 降尺度, 地下水储量, 河北省

Abstract: To overcome the limitation of the coarse spatial resolution of GRACE observations, this study selects PCR-GLOBWB simulations as the reference data with higher resolution. Three kinds of downscaling schemes are employed to improve the resolution of GRACE data in Hebei province from 0.50° to 0.05°, namely add weight downscaling method (AWDM), multiply weight downscaling method (MWDM), and error distribution downscaling method (EDDM), respectively. The results indicate that the AWDM-based scheme can not only preserve the original spatial characteristics of GRACE observations, but also give signals at local areas. Although the EDDM-based scheme can also provide ideal downscaled results, there are obvious jumps with regard to the signals between the junction of different pixels. In contrast, the worst performance is observed in the MWDM-based scheme, which is significantly different from the actual GRACE signals. In-situ groundwater level measurements highlight that the AWDM-based downscaling scheme is superior to other downscaling methods, and can provide reasonable downscaling performance with the correlation up to 0.81. This study provides an effective guarantee for obtaining high spatial resolution groundwater storage data in Hebei province.

Key words: GRACE satellites, PCR-GLOBWB, downscaling, groundwater storage, Hebei province

中图分类号:

P237

刘红亮, 张刚强, 张大胜, 尹文杰, 孟详博. 利用高分辨率水文模型提高GRACE卫星的空间分辨率[J]. 测绘通报, 2022, 0(8): 41-47.

LIU Hongliang, ZHANG Gangqiang, ZHANG Dasheng, YIN Wenjie, MENG Xiangbo. Improving the spatial resolution of GRACE satellites based on high-resolution hydrological simulations[J]. Bulletin of Surveying and Mapping, 2022, 0(8): 41-47.

参考文献

[1] LONG Di,YANG Wenting,SCANLON B R,et al.South-to-north water diversion stabilizing Beijing's groundwater levels[J].Nature Communications,2020,11:3665.
[2] TAYLOR R G,SCANLON B,DÖLL P,et al.Ground water and climate change[J].Nature Climate Change,2013,3(4):322-329.
[3] TAPLEY B D,BETTADPUR S,RIES J C,et al.GRACE measurements of mass variability in the Earth system[J].Science,2004,305(5683):503-505.
[4] 冯伟,王长青,穆大鹏,等.基于GRACE的空间约束方法监测华北平原地下水储量变化[J].地球物理学报,2017,60(5):1630-1642.
[5] YIN Wenjie,HAN S C,ZHENG Wei,et al.Improved water storage estimates within the North China Plain by assimilating GRACE data into the CABLE model[J].Journal of Hydrology,2020,590:125348.
[6] LONG Di,CHEN Xi,SCANLON B R,et al.Have GRACE satellites overestimated groundwater depletion in the Northwest India Aquifer? [J].Scientific Reports,2016,6:24398.
[7] SEYOUM W M,MILEWSKI A M.Monitoring and comparison of terrestrial water storage changes in the northern high plains using GRACE and in situ based integrated hydrologic model estimates[J].Advances in Water Resources,2016,94:31-44.
[8] 王洁,张建梅,宁少尉,等.基于GRACE重力卫星云南陆地水储量变化的降尺度分析[J].水电能源科学,2018,36(10):1-5.
[9] YIN W,HU L,ZHANG M,et al.Statistical downscaling of GRACE-derived groundwater storage using ET data in the North China plain[J].Journal of Geophysical Research:Atmospheres,2018,123(11):5973-5987.
[10] SUN A Y.Predicting groundwater level changes using GRACE data[J].Water Resources Research,2013,49(9):5900-5912.
[11] SEYOUM W M,MILEWSKI A M.Improved methods for estimating local terrestrial water dynamics from GRACE in the northern high plains[J].Advances in Water Resources,2017,110:279-290.
[12] CHEN Li,HE Qisheng,LIU Kun,et al.Downscaling of GRACE-derived groundwater storage based on the random forest model[J].Remote Sensing,2019,11(24):2979.
[13] ZHANG Gangqiang,ZHENG Wei,YIN Wenjie,et al.Improving the resolution and accuracy of groundwater level anomalies using the machine learning-based fusion model in the North China plain[J].Sensors (Basel,Switzerland),2020,21(1):46.
[14] 于翔.基于数字水网的河北地下水超采治理效果的过程化评价及业务融合研究[D].西安:西安理工大学,2021.
[15] 杜玲,王猛,刘曦,等.河北平原区农作物种植水资源压力指数评价[J].中国农业大学学报,2017,22(7):1-9.
[16] JIANG Dong,WANG Jianhua,HUANG Yaohuan,et al.The review of GRACE data applications in terrestrial hydrology monitoring[J].Advances in Meteorology,2015,24(12):758-767.
[17] PURCELL A,TREGONING P,DEHECQ A.An assessment of the ICE6G_C(VM5a) glacial isostatic adjustmentmodel[J].Journal of Geophysical Research Solid Earth (JGR),2016,121(5):3939-3950.
[18] SUTANUDJAJA E H,VAN BEEK R,WANDERS N,et al.PCR-GLOBWB 2:a 5 arcmin global hydrological and water resources model[J].Geoscientific Model Development,2018,11(6):2429-2453.
[19] PENG Shouzhang,DING Demi,LIU Wenzhao,et al.1km monthly temperature and precipitation dataset for China from 1901 to 2017[J].Earth System Science Data,2019,11(4):1931-1946.
[20] PENG Shouzhang,GANG Chengcheng,CAO Yang,et al.Assessment of climate change trends over the Loess Plateau in China from 1901 to 2100[J].International Journal of Climatology,2018,38(5):2250-2264.
[21] WAN Zhanming,ZHANG Ke,XUE Xianwu,et al.Water balance-based actual evapotranspiration reconstruction from ground and satellite observations over the conterminous United States[J].Water Resources Research,2015,51(8):6485-6499.
[22] ZHANG Dan,LIU Xiaomang,BAI Peng.Assessment of hydrological drought and its recovery time for eight tributaries of the Yangtze River (China) based on downscaled GRACE data[J].Journal of Hydrology,2019,568:592-603.

利用高分辨率水文模型提高GRACE卫星的空间分辨率

Improving the spatial resolution of GRACE satellites based on high-resolution hydrological simulations

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 4

编辑推荐

Metrics

本文评价

[1]	李名语, 陈利军, 刘国祥, 毛文飞, 向卫, 蔡嘉伦, 张波, 张瑞. 联合GRACE和GLDAS数据的河南省地下水储量反演与时空变化分析[J]. 测绘通报, 2022, 0(3): 121-126.
[2]	李军, 桑潇, 张成业, 赵伟, 刘新华, 王宏鹏, 王金阳, 李佳瑶, 杨颖. 资源型城市长时间序列土壤含水量变化分析——以锡林浩特市为例[J]. 测绘通报, 2021, 0(7): 17-22,38.
[3]	符宝玲, 琚锋, 赵伟忠, 许星. 利用Landsat 7与GF-1 WFV影像反演地表温度[J]. 测绘通报, 2021, 0(11): 124-127,135.
[4]	谢小伟, 许才军, 龚正, 李伟. 利用GRACE反演陕甘晋高原地下水储量变化[J]. 测绘通报, 2018, 0(1): 133-137.