This page has only limited features, please log in for full access.

Unclaimed
Zhengtao Wang
School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 06 July 2021 in Remote Sensing
Reads 0
Downloads 0

The Gravity Recovery and Climate Experiment (GRACE) satellite provides time-varying gravity field models that can detect total water storage change (TWSC) from April 2002 to June 2017, and its second-generation satellite, GRACE Follow-On (GRACE-FO), provides models from June 2018, so there is a one year gap. Swarm satellites are equipped with Global Positioning System (GPS) receivers, which can be used to recover the Earth’s time-varying gravitational field. Swarm’s time-varying gravitational field models (from December 2013 to June 2018) were solved by the International Combination Service for Time-variable Gravity Field Solutions (COST-G) and the Astronomical Institute of the Czech Academy of Sciences (ASI). On a timely scale, Swarm has the potential to fill the gap between the two generations of GRACE satellites. In this paper, using 26 global watersheds as the study area, first, we explored the optimal data processing strategy for Swarm and then obtained the Swarm-TWSC of each watershed based on the optimal results. Second, we evaluated Swarm’s accuracy in detecting regional water storage variations, analyzed the reasons for its superior and inferior performance in different regions, and systematically explored its potential in detecting terrestrial water storage changes in land areas. Finally, we constructed the time series of terrestrial water storage changes from 2002 to 2019 by combining GRACE, Swarm, and GRACE-FO for the Amazon, Volga, and Zambezi Basins. The results show that the optimal data processing strategy of Swarm is different from that of GRACE. The optimal results of Swarm-TWSC were explored in 26 watersheds worldwide; its accuracy is related to the area size, runoff volume, total annual mass change, and instantaneous mass change of the watershed itself, among which the latter is the main factor affecting Swarm-TWSC. Knowledge of the Swarm-TWSC of 26 basins constructed in this paper is important to study long-term water storage changes in basins.

ACS Style

Zhengtao Wang; Kunjun Tian; Fupeng Li; Si Xiong; Yu Gao; Lingxuan Wang; Bingbing Zhang. Using Swarm to Detect Total Water Storage Changes in 26 Global Basins (Taking the Amazon Basin, Volga Basin and Zambezi Basin as Examples). Remote Sensing 2021, 13, 2659 .

AMA Style

Zhengtao Wang, Kunjun Tian, Fupeng Li, Si Xiong, Yu Gao, Lingxuan Wang, Bingbing Zhang. Using Swarm to Detect Total Water Storage Changes in 26 Global Basins (Taking the Amazon Basin, Volga Basin and Zambezi Basin as Examples). Remote Sensing. 2021; 13 (14):2659.

Chicago/Turabian Style

Zhengtao Wang; Kunjun Tian; Fupeng Li; Si Xiong; Yu Gao; Lingxuan Wang; Bingbing Zhang. 2021. "Using Swarm to Detect Total Water Storage Changes in 26 Global Basins (Taking the Amazon Basin, Volga Basin and Zambezi Basin as Examples)." Remote Sensing 13, no. 14: 2659.

Research letter
Published: 26 April 2021 in Geophysical Research Letters
Reads 0
Downloads 0

The Gravity Recovery and Climate Experiment (GRACE) mission has monitored global total water storage anomalies (TWSA) with an unprecedented accuracy since 2002. Yet, many applications require a longer record, that is, extending prior to the GRACE period. Here, we present a new global reconstruction of long‐term (1979–2020) TWSA fields by combining machine learning with time series decomposition and statistical decomposition techniques. We find that the long‐term TWSA reconstructed from GRACE fits well with the GRACE‐FO observation over most grids (0.5° resolution) of the global land and successfully reproduces the strong El Niño signal. Comparisons to Satellite Laser Ranging solutions and to observed global mean sea level change suggest our reconstruction (doi: https://doi.org/10.5061/dryad.z612jm6bt) is more reliable than previously published products. This study provides a viable approach for both reconstructing past TWSA and filling the GRACE data gap at the global scale.

ACS Style

Fupeng Li; Jürgen Kusche; Nengfang Chao; Zhengtao Wang; Anno Löcher. Long‐Term (1979‐Present) Total Water Storage Anomalies Over the Global Land Derived by Reconstructing GRACE Data. Geophysical Research Letters 2021, 48, 1 .

AMA Style

Fupeng Li, Jürgen Kusche, Nengfang Chao, Zhengtao Wang, Anno Löcher. Long‐Term (1979‐Present) Total Water Storage Anomalies Over the Global Land Derived by Reconstructing GRACE Data. Geophysical Research Letters. 2021; 48 (8):1.

Chicago/Turabian Style

Fupeng Li; Jürgen Kusche; Nengfang Chao; Zhengtao Wang; Anno Löcher. 2021. "Long‐Term (1979‐Present) Total Water Storage Anomalies Over the Global Land Derived by Reconstructing GRACE Data." Geophysical Research Letters 48, no. 8: 1.

Journal article
Published: 16 March 2021 in Remote Sensing
Reads 0
Downloads 0

The Gravity Recovery and Climate Experiment (GRACE) mission has measured total water storage change (TWSC) and interpreted drought patterns in an unparalleled way since 2002. Nevertheless, there are few sources that can be used to understand drought patterns prior to the GRACE era. In this study, we extended the gridded GRACE TWSC to 1993 by combining principal component analysis (PCA), least square (LS) fitting, and multiple linear regression (MLR) methods using climate variables as input drivers. We used the extended (climate-driven) TWSC to interpret drought patterns (1993–2019) over the Amazon basin. Results showed that, in the Amazon area with the resolution of 0.5°, GRACE, GRACE follow on, and Swarm had correlation coefficients of 0.95, 0.92, and 0.77 compared with climate-driven TWSCS, respectively. The drought patterns assessed by the climate-driven TWSC were consistent with those interpreted by the Palmer Drought Severity Index and GRACE TWSC. We also found that the 1998 and 2016 drought events in the Amazon, both induced by strong El Niño events, showed similar drought patterns. This study provides a new perspective for interpreting long-term drought patterns prior to the GRACE period.

ACS Style

Kunjun Tian; Zhengtao Wang; Fupeng Li; Yu Gao; Yang Xiao; Cong Liu. Drought Events over the Amazon River Basin (1993–2019) as Detected by the Climate-Driven Total Water Storage Change. Remote Sensing 2021, 13, 1124 .

AMA Style

Kunjun Tian, Zhengtao Wang, Fupeng Li, Yu Gao, Yang Xiao, Cong Liu. Drought Events over the Amazon River Basin (1993–2019) as Detected by the Climate-Driven Total Water Storage Change. Remote Sensing. 2021; 13 (6):1124.

Chicago/Turabian Style

Kunjun Tian; Zhengtao Wang; Fupeng Li; Yu Gao; Yang Xiao; Cong Liu. 2021. "Drought Events over the Amazon River Basin (1993–2019) as Detected by the Climate-Driven Total Water Storage Change." Remote Sensing 13, no. 6: 1124.

Journal article
Published: 08 May 2020 in Water Resources Research
Reads 0
Downloads 0

The Gravity Recovery and Climate Experiment (GRACE) mission ended its operation in October 2017 and the GRACE Follow‐On mission was launched only in May 2018, leading to approximately one year of data gap. Given that GRACE‐type observations are exclusively providing direct estimates of Total Water Storage Change (TWSC), it would be very important to bridge the gap between these two missions. Furthermore, for many climate‐related applications, it is also desirable to reconstruct TWSC prior to the GRACE period. In this study, we aim at comparing different data‐driven methods and identifying the more robust alternatives for predicting GRACE‐like gridded TWSC during the gap and reconstructing them to 1992 using climate inputs. To this end, we first develop a methodological framework to compare different methods such as the Multiple Linear Regression (MLR), Artificial Neural Network (ANN), and AutoRegressive eXogenous (ARX) approaches. Second, metrics are developed to measure the robustness of the predictions. Finally, gridded TWSC within twenty‐six regions are predicted and reconstructed using the identified methods. Test computations suggest that the correlation of predicted TWSC maps with observed ones is more than 0.3 higher than TWSC simulated by hydrological models, at the grid scale of 1° resolution. Furthermore, the reconstructed TWSC correctly reproduce the El Nino‐Southern Oscillation (ENSO) signals. In general, while MLR does not perform best in the training process, it is more robust and could thus be a viable approach both for filling the GRACE gap and for reconstructing long‐period TWSC fields globally when combined with statistical decomposition techniques.

ACS Style

Fupeng Li; Jürgen Kusche; Roelof Rietbroek; Zhengtao Wang; Ehsan Forootan; Kerstin Schulze; Christina Lück. Comparison of Data‐Driven Techniques to Reconstruct (1992–2002) and Predict (2017–2018) GRACE‐Like Gridded Total Water Storage Changes Using Climate Inputs. Water Resources Research 2020, 56, 1 .

AMA Style

Fupeng Li, Jürgen Kusche, Roelof Rietbroek, Zhengtao Wang, Ehsan Forootan, Kerstin Schulze, Christina Lück. Comparison of Data‐Driven Techniques to Reconstruct (1992–2002) and Predict (2017–2018) GRACE‐Like Gridded Total Water Storage Changes Using Climate Inputs. Water Resources Research. 2020; 56 (5):1.

Chicago/Turabian Style

Fupeng Li; Jürgen Kusche; Roelof Rietbroek; Zhengtao Wang; Ehsan Forootan; Kerstin Schulze; Christina Lück. 2020. "Comparison of Data‐Driven Techniques to Reconstruct (1992–2002) and Predict (2017–2018) GRACE‐Like Gridded Total Water Storage Changes Using Climate Inputs." Water Resources Research 56, no. 5: 1.

Journal article
Published: 09 December 2019 in Geodesy and Geodynamics
Reads 0
Downloads 0
ACS Style

Zhengtao Wang; Nengfang Chao; Dingbo Chao. Using satellite altimetry leveling to assess the marine geoid. Geodesy and Geodynamics 2019, 11, 106 -111.

AMA Style

Zhengtao Wang, Nengfang Chao, Dingbo Chao. Using satellite altimetry leveling to assess the marine geoid. Geodesy and Geodynamics. 2019; 11 (2):106-111.

Chicago/Turabian Style

Zhengtao Wang; Nengfang Chao; Dingbo Chao. 2019. "Using satellite altimetry leveling to assess the marine geoid." Geodesy and Geodynamics 11, no. 2: 106-111.

Journal article
Published: 10 August 2019 in Sensors
Reads 0
Downloads 0

The Danjiangkou Reservoir (DJKR) is the freshwater source for the Middle Route of the South-to-North Water Diversion Project in China, and its water level and storage changes are important for water resource management. To maximize the potential capacity of the Gravity Recovery and Climate Experiment (GRACE) mission, an improved Lagrange multiplier method (ILMM) is first proposed to detect terrestrial water storage anomalies (TWSA) in the small-scale basin (DJKR). Moreover, for the first time, water diversion fingerprints are proposed to analyze the spatiotemporal pattern of the TWSA in the DJKR. The results indicate that the increased water level and storage signals due to the DJKR impoundment in 2014 can be effectively detected by using the ILMM, and they agree well with the results from altimetry and in situ data. Additionally, the water diversion fingerprints due to the DJKR impoundment are inferred, and describe the progression of spatiotemporal variability in water storage. The results show that water storage decreased in the upper Hanjiang River and increased in the DJKR as well as to the east of it during the period 2013–2015. Our research provides a scientific decision-making basis for monitoring the water resources of the DJKR and managing the South-to-North Water Diversion Project.

ACS Style

Nengfang Chao; Gang Chen; Zhicai Luo; Xiaoli Su; Zhengtao Wang; Fupeng Li. Detecting Water Diversion Fingerprints in the Danjiangkou Reservoir from Satellite Gravimetry and Altimetry Data. Sensors 2019, 19, 3510 .

AMA Style

Nengfang Chao, Gang Chen, Zhicai Luo, Xiaoli Su, Zhengtao Wang, Fupeng Li. Detecting Water Diversion Fingerprints in the Danjiangkou Reservoir from Satellite Gravimetry and Altimetry Data. Sensors. 2019; 19 (16):3510.

Chicago/Turabian Style

Nengfang Chao; Gang Chen; Zhicai Luo; Xiaoli Su; Zhengtao Wang; Fupeng Li. 2019. "Detecting Water Diversion Fingerprints in the Danjiangkou Reservoir from Satellite Gravimetry and Altimetry Data." Sensors 19, no. 16: 3510.

Journal article
Published: 24 March 2019 in Remote Sensing
Reads 0
Downloads 0

Research on total electron content (TEC) empirical models is one of the important topics in the field of space weather services. Global TEC empirical models based on Global Ionospheric Maps (GIMs) TEC data released by the International GNSS Service (IGS) have developed rapidly in recent years. However, the accuracy of such global empirical models has a crucial restriction arising from the non-uniform accuracy of IGS TEC data in the global scope. Specifically, IGS TEC data accuracy is higher on land and lower over the ocean due to the lack of stations in the latter. Using uneven precision GIMs TEC data as a whole for model fitting is unreasonable. Aiming at the limitation of global ionospheric TEC modelling, this paper proposes a new global ionospheric TEC empirical model named the TECM-GRID model. The model consists of 5183 sections, corresponding to 5183 grid points (longitude 5°, latitude 2.5°) of GIM. Two kinds of single point empirical TEC models, SSM-T1 and SSM-T2, are used for TECM-GRID. According to the locations of grid points, the SSM-T2 model is selected as the sub-model in the Mid-Latitude Summer Night Anomaly (MSNA) region, and SSM-T1 is selected as the sub-model in other regions. The fitting ability of the TECM-GRID model for modelling data was tested in accordance with root mean square (RMS) and relative RMS values. Then, the TECM-GRID model was validated and compared with the NTCM-GL model and Center for Orbit Determination in Europe (CODE) GIMs at time points other than modelling time. Results show that TECM-GRID can effectively describe the Equatorial Ionization Anomaly (EIA) and the MSNA phenomena of the ionosphere, which puts it in good agreement with CODE GIMs and means that it has better prediction ability than the NTCM-GL model.

ACS Style

Jiandi Feng; Baomin Han; Zhenzhen Zhao; Zhengtao Wang. A New Global Total Electron Content Empirical Model. Remote Sensing 2019, 11, 706 .

AMA Style

Jiandi Feng, Baomin Han, Zhenzhen Zhao, Zhengtao Wang. A New Global Total Electron Content Empirical Model. Remote Sensing. 2019; 11 (6):706.

Chicago/Turabian Style

Jiandi Feng; Baomin Han; Zhenzhen Zhao; Zhengtao Wang. 2019. "A New Global Total Electron Content Empirical Model." Remote Sensing 11, no. 6: 706.

Journal article
Published: 22 May 2018 in Water
Reads 0
Downloads 0

With worldwide economic and social development, more dams are being constructed to meet the increasing demand for hydropower, which may considerably influence hydrological drought. Here, an index named the “Dam Influence Index” (DII) is proposed to assess the influence of the Three Gorges Dam (TGD) on hydrological drought in the Yangtze River Basin (YRB) in China. First, the total terrestrial water storage (TTWS) is derived from Gravity Recovery and Climate Experiment data. Then, the natural-driven terrestrial water storage (NTWS) is predicted from the soil moisture, precipitation, and temperature data based on an artificial neural network model. Finally, the DII is derived using the empirical (Kaplan-Meier) cumulative distribution function of the differences between the TTWS and the NTWS. The DIIs of the three sub-basins in the YRB were 1.38, −4.66, and −7.32 between 2003 and 2008, which indicated an increase in TTWS in the upper sub-basin and a reduction in the middle and lower sub-basins. According to the results, we concluded that impoundments of the TGD between 2003 and 2008 slightly alleviated the hydrological drought in the upper sub-basin and significantly aggravated the hydrological drought in the middle and lower sub-basins, which is consistent with the Palmer Drought Severity Index. This study provides a new perspective for estimating the effects of large-scale human activities on hydrological drought and a scientific decision-making basis for the managing water resources over the operation of the TGD.

ACS Style

Fupeng Li; Zhengtao Wang; Nengfang Chao; Qingyi Song. Assessing the Influence of the Three Gorges Dam on Hydrological Drought Using GRACE Data. Water 2018, 10, 669 .

AMA Style

Fupeng Li, Zhengtao Wang, Nengfang Chao, Qingyi Song. Assessing the Influence of the Three Gorges Dam on Hydrological Drought Using GRACE Data. Water. 2018; 10 (5):669.

Chicago/Turabian Style

Fupeng Li; Zhengtao Wang; Nengfang Chao; Qingyi Song. 2018. "Assessing the Influence of the Three Gorges Dam on Hydrological Drought Using GRACE Data." Water 10, no. 5: 669.

Journal article
Published: 20 March 2017 in Sensors
Reads 0
Downloads 0

Swarm is a European Space Agency (ESA) project that was launched on 22 November 2013, which consists of three Swarm satellites. Swarm precise orbits are essential to the success of the above project. This study investigates how well Swarm zero-differenced (ZD) reduced-dynamic orbit solutions can be determined using space-borne GPS data and optimized pseudo-stochastic pulses under high ionospheric activity. We choose Swarm space-borne GPS data from 1–25 October 2014, and Swarm reduced-dynamic orbits are obtained. Orbit quality is assessed by GPS phase observation residuals and compared with Precise Science Orbits (PSOs) released by ESA. Results show that pseudo-stochastic pulses with a time interval of 6 min and a priori standard deviation (STD) of 10−2 mm/s in radial (R), along-track (T) and cross-track (N) directions are optimized to Swarm ZD reduced-dynamic precise orbit determination (POD). During high ionospheric activity, the mean Root Mean Square (RMS) of Swarm GPS phase residuals is at 9–11 mm, Swarm orbit solutions are also compared with Swarm PSOs released by ESA and the accuracy of Swarm orbits can reach 2–4 cm in R, T and N directions. Independent Satellite Laser Ranging (SLR) validation indicates that Swarm reduced-dynamic orbits have an accuracy of 2–4 cm. Swarm-B orbit quality is better than those of Swarm-A and Swarm-C. The Swarm orbits can be applied to the geomagnetic, geoelectric and gravity field recovery.

ACS Style

Bingbing Zhang; Zhengtao Wang; Lv Zhou; Jiandi Feng; Yaodong Qiu; Fupeng Li. Precise Orbit Solution for Swarm Using Space-Borne GPS Data and Optimized Pseudo-Stochastic Pulses. Sensors 2017, 17, 635 .

AMA Style

Bingbing Zhang, Zhengtao Wang, Lv Zhou, Jiandi Feng, Yaodong Qiu, Fupeng Li. Precise Orbit Solution for Swarm Using Space-Borne GPS Data and Optimized Pseudo-Stochastic Pulses. Sensors. 2017; 17 (3):635.

Chicago/Turabian Style

Bingbing Zhang; Zhengtao Wang; Lv Zhou; Jiandi Feng; Yaodong Qiu; Fupeng Li. 2017. "Precise Orbit Solution for Swarm Using Space-Borne GPS Data and Optimized Pseudo-Stochastic Pulses." Sensors 17, no. 3: 635.

Article
Published: 10 February 2017 in Radio Science
Reads 0
Downloads 0

Compared with regional or global total electron content (TEC) empirical models, single-station TEC empirical models may exhibit higher accuracy in describing TEC spatial and temporal variations for a single station. In this paper, a new single-station empirical total electron content (TEC) model, called SSM-month, for the O'Higgins Station in the Antarctic Peninsula is proposed by using Global Positioning System (GPS)-TEC data from 01 January 2004 to 30 June 2015. The diurnal variation of TEC in the O'Higgins Station may have changing features in different months, sometimes even in opposite forms, because of ionospheric phenomena, such as the Mid-latitude Summer Nighttime Anomaly (MSNA). To avoid the influence of different diurnal variations, the concept of monthly modeling is proposed in this study. The SSM-month model, which is established by month (including 12 submodels that correspond to the 12 months), can effectively describe the diurnal variation of TEC in different months. Each submodel of the SSM-month model exhibits good agreement with GPS-TEC input data. Overall, the SSM-month model fits the input data with a bias of 0.03 TECU (total electron content unit, 1 TECU = 1016 el m−2) and a standard deviation of 2.78 TECU. This model, which benefits from the modeling method, can effectively describe the MSNA phenomenon without implementing any modeling correction. TEC data derived from Center for Orbit Determination in Europe global ionosphere maps (CODE GIMs), International Reference Ionosphere 2012 (IRI2012), and NeQuick are compared with the SSM-month model in the years of 2001 and 2015–2016. Result shows that the SSM-month model exhibits good consistency with CODE GIMs, which is better than that of IRI2012 and NeQuick, in the O'Higgins Station on the test days.

ACS Style

Jiandi Feng; Zhengtao Wang; Weiping Jiang; Zhenzhen Zhao; Bingbing Zhang. A single-station empirical model for TEC over the Antarctic Peninsula using GPS-TEC data. Radio Science 2017, 52, 196 -214.

AMA Style

Jiandi Feng, Zhengtao Wang, Weiping Jiang, Zhenzhen Zhao, Bingbing Zhang. A single-station empirical model for TEC over the Antarctic Peninsula using GPS-TEC data. Radio Science. 2017; 52 (2):196-214.

Chicago/Turabian Style

Jiandi Feng; Zhengtao Wang; Weiping Jiang; Zhenzhen Zhao; Bingbing Zhang. 2017. "A single-station empirical model for TEC over the Antarctic Peninsula using GPS-TEC data." Radio Science 52, no. 2: 196-214.

Journal article
Published: 14 January 2017 in Remote Sensing
Reads 0
Downloads 0

Several studies have indicated that glaciers in the Qinghai-Tibet plateau are thinning, resulting in reduced water supplies to major rivers such as the Yangtze, Yellow, Lancang, Indus, Ganges, Brahmaputra in China, and south Asia. Three rivers in the upstream of Yangtze River originate from glaciers around the Geladandong snow mountain group in central Tibet. Here we used elevation observations from Ice, Cloud, and land Elevation Satellite (ICESat) and reference elevations from a 3-arc-second digital elevation model (DEM) of Shuttle Radar Terrestrial Mission (SRTM), assisted with Landsat-7 images, to detect glacier elevation changes in the western (A), central (B), and eastern (C) regions of Geladandong. Robust fitting was used to determine rates of glacier elevation changes in regions with dense ICESat data, whereas a new method called rate averaging was employed to find rates in regions of low data density. The rate of elevation change was −0.158 ± 0.066 m·a−1 over 2003–2009 in the entire Geladandong and it was −0.176 ± 0.102 m·a−1 over 2003–2008 in Region C (by robust fitting). The rates in Regions A, B, and C were −0.418 ± 0.322 m·a−1 (2000–2009), −0.432 ± 0.020 m·a−1 (2000–2003), and −0.321 ± 0.139 m·a−1 (2000–2008) (by rate averaging). We used in situ hydroclimatic dataset to assess these negative rates: the glacier thinning was caused by temperature rises around Geladandong, based on the temperature records over 1979–2009, 1957–2013, and 1966–2013 at stations Tuotuohe, Wudaoliang, and Anduo. The thinning Geladandong glaciers led to increased discharges recorded at the river gauge stations Tuotuohe and Chumda over 1956–2012. An unabated Geladandong glacier melting will reduce its long-term water supply to the Yangtze River Basin, causing irreversible socioeconomic consequences and seriously degrading the ecological system of the Yangtze River Basin.

ACS Style

Nengfang Chao; Zhengtao Wang; Cheinway Hwang; Taoyong Jin; Yung-Sheng Cheng. Decline of Geladandong Glacier Elevation in Yangtze River’s Source Region: Detection by ICESat and Assessment by Hydroclimatic Data. Remote Sensing 2017, 9, 75 .

AMA Style

Nengfang Chao, Zhengtao Wang, Cheinway Hwang, Taoyong Jin, Yung-Sheng Cheng. Decline of Geladandong Glacier Elevation in Yangtze River’s Source Region: Detection by ICESat and Assessment by Hydroclimatic Data. Remote Sensing. 2017; 9 (1):75.

Chicago/Turabian Style

Nengfang Chao; Zhengtao Wang; Cheinway Hwang; Taoyong Jin; Yung-Sheng Cheng. 2017. "Decline of Geladandong Glacier Elevation in Yangtze River’s Source Region: Detection by ICESat and Assessment by Hydroclimatic Data." Remote Sensing 9, no. 1: 75.

Journal article
Published: 09 January 2016 in Hydrogeology Journal
Reads 0
Downloads 0

A quantitative approach for hydrological drought characterization, based on non-seasonal water storage deficit data from NASA’s Gravity Recovery and Climate Experiment (GRACE) satellite mission, is assessed. Non-seasonal storage deficit is the negative terrestrial water storage after deducting trend, acceleration and seasonal signals, and it is designated as a drought event when it persists for three or more continuous months. The non-seasonal water storage deficit is used for measuring the hydrological drought in southwestern China. It is found that this storage-deficit method clearly identifies hydrological drought onset, end and duration, and quantifies instantaneous severity, peak drought magnitude, and time to recovery. Moreover, it is found that severe droughts have frequently struck southwestern China in the past several decades, among which, the drought of 2011–2012 was the most severe; the duration was 10 months, the severity was −208.92 km3/month, and the time to recovery was 17 months. These results compare well with the National Climate Center of China drought databases, which signifies that the GRACE-based non-seasonal water storage deficit has a quantitative effect on hydrological drought characterization and provides an effective tool for researching droughts.

ACS Style

Nengfang Chao; Zhengtao Wang; Weiping Jiang; Dingbo Chao. A quantitative approach for hydrological drought characterization in southwestern China using GRACE. Hydrogeology Journal 2016, 24, 893 -903.

AMA Style

Nengfang Chao, Zhengtao Wang, Weiping Jiang, Dingbo Chao. A quantitative approach for hydrological drought characterization in southwestern China using GRACE. Hydrogeology Journal. 2016; 24 (4):893-903.

Chicago/Turabian Style

Nengfang Chao; Zhengtao Wang; Weiping Jiang; Dingbo Chao. 2016. "A quantitative approach for hydrological drought characterization in southwestern China using GRACE." Hydrogeology Journal 24, no. 4: 893-903.

Article
Published: 01 September 2008 in Chinese Journal of Geophysics
Reads 0
Downloads 0

Based on the energy integral equation of satellite orbit‐motion, some applied computation formulas for Earth gravity field recovery from satellite to satellite tracking data are presented, in which a strict expression of the difference of kinetic energy between two satellites on the same orbit in terms of KBR range‐rate observation value is given. Using GRACE data from the satellites and the energy integral method, a gravity model up to degree 120 is derived, which is named WHU‐GM‐05. The tests of WHU‐GM‐05 series are performed by multi‐comparisons, which include the comparisons between the model series and several analogous international geopotential models including EIGEN‐GRACE series and GGM02S with respect to the corresponding degree variances and geoidal heights, and comparisons of the model geoidal heights with GPS leveling in the area of U.S. and China (some regions). The results show that the total accuracy of WHU‐GM‐05 is near to that of the models used in the comparisons.

ACS Style

Zheng-Tao Wang; Jian-Cheng Li; Wei-Ping Jiang; Ding-Bo Chao. Determination of Earth Gravity Field Model WHU-GM-05 Using Grace Gravity Data. Chinese Journal of Geophysics 2008, 51, 967 -975.

AMA Style

Zheng-Tao Wang, Jian-Cheng Li, Wei-Ping Jiang, Ding-Bo Chao. Determination of Earth Gravity Field Model WHU-GM-05 Using Grace Gravity Data. Chinese Journal of Geophysics. 2008; 51 (5):967-975.

Chicago/Turabian Style

Zheng-Tao Wang; Jian-Cheng Li; Wei-Ping Jiang; Ding-Bo Chao. 2008. "Determination of Earth Gravity Field Model WHU-GM-05 Using Grace Gravity Data." Chinese Journal of Geophysics 51, no. 5: 967-975.