Xiang Wang

Chengdu University of Technology

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Xiaorong Wei

Institute of Soil and Water Conservation

Xiaozhen Li

Chengdu University of Technology

Yifang Ren

Jiangsu Provincial Meteorological Bureau

Mingan Shao

University of Chinese Academy of Sciences

Wenyi Qin

Chengdu University of Technology

Jun A. Zhang

NOAA Atlantic Oceanographic and Meteorological Laboratories

Kyungsoo Yoo

University of Minnesota System

Joseph L. Awange

Hong Kong Polytechnic University

Peng Wang

Fudan University

Guo Chen

Minzu University of China

Cooperative Institutions

Chinese Academy of Sciences

University of Chinese Academy of Sciences

Northwest A&F University

Chengdu University of Technology

Institute of Soil and Water Conservation

Nanjing University of Information Science and Technology

National University of Defense Technology

Sun Yat-sen University

Ministry of Water Resources of the People's Republic of China

China Agricultural University

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Quality Assessments of Chinese FengYun-3B Microwave Temperature Sounder (MWTS) Measurements

IEEE Transactions on Geoscience and Remote Sensing (2012)

Xiang Wang Xiaolei Zou

Following the successful launch of the first polar-orbiting morning-configured satellite, FY-3A, on May 27, 2008, in a new Fengyun three (FY-3) series, the second afternoon-configured polar-orbiting satellite (FY-3B) was launched on November 5, 2010. The four-channel Microwave Temperature Sounder (MWTS) was onboard both FY-3A/B satellites, with designed channel frequency similar to channels 3, 5, 7, and 9 of the Advanced Microwave Sounding Unit-A (AMSU-A). This study assesses the quality of the brightness temperature measurements from FY-3B MWTS by comparing them with numerical weather prediction (NWP) model simulations and NOAA-18 AMSU-A measurements with the same frequencies. A strong latitudinal-dependent bias is found for both MWTS channel 3 and AMSU-A channel 7. At channel 4, the brightness temperatures are contaminated within a small latitudinal zone ( ~ 30 ^° -40 ^° N) of the Northern Hemisphere. It is also found that the MWTS channel 4 bias is strongly asymmetric across the scan and the fourth field of view (FOV4) of channel 4 is globally and systematically warmer than its neighboring FOVs. These anomalous biases may arise from sidelobe effect and interferences of the signal transmitted from some unknown sources. A quality control algorithm is developed to remove the anomalous data at MWTS channel 4 for its applications in NWP.

10.1109/tgrs.2012.2196438

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Citations (22)

Coupling effects of nutrients and temperature for the hazard degree dynamic assessment of Karenia mikimotoi red tide disasters in the Wenzhou coastal waters

Shiyong Wen Yongjian Liu Zizhu Wang Xinxin Wang Xiang Wang

How to quantify the response relationship between algal specific growth rate and marine environmental factors is the key to assess the hazard degree of red tide disasters. Firstly, a model for algal specific growth rate of Karenia mikimotoi based on the coupling effect of nutrient and temperature is established using laboratory algal culture data; secondly, the monthly hazard degree spatial distributions of K. mikimotoi red tide in Wenzhou coastal waters from January 2014 to December 2014 were obtained under the geographic information system (GIS) combining the MODIS satellite monthly average data with the assessment model. The results showed that (1) the algal specific growth rate relation model of K. mikimotoi was in accordance with Shelford's law of tolerance. (2) K. mikimotoi more likely caused red tide in Wenzhou coastal waters in May 2014 to July 2014, by contrast, it less likely induced red tide in other months of the same year. There are differences of the hazard degree of K. mikimotoi red tide disasters in the same months. These findings provide a technical basis to respond effectively to ecological disasters in Wenzhou coastal waters.

Red tide

10.1109/igarss.2016.7730095

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A Kernel Density Estimation Approach and Statistical Generalized Additive Model of Western North Pacific Typhoon Activities

Atmosphere (2022)

Xiang Wang Md Wahiduzzaman Alea Yeasmin

This paper presents a development of a statistical model of typhoon genesis, tracks based on kernel density estimation and a generalized additive model (GAM). Modeling of typhoon activity is ultimately beneficial to the people living in coastal zones, insurance/re-insurance companies, policy, planning and decision departments. A 50-year record (1972–2021) of typhoon track observations from the International Best Track Archive Climate Stewardship have been used to observe the distribution of typhoon genesis by kernel density estimation. The tracks are simulated through the development of a GAM. It reproduces the observation well. A distance calculation approach between observed and simulated tracks’ landfall have been used to validate the model and the model shows a very good skill (approximately 75%).

Typhoon

Kernel density estimation

Landfall

Generalized additive model

Kernel (algebra)

10.3390/atmos13071128

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An Observational Study of the Symmetric Boundary Layer Structure and Tropical Cyclone Intensity

Atmosphere (2020)

Yifang Ren Jun A. Zhang Jonathan L. Vigh Ping Zhu Hailong Liu

This study analyses Global Positioning System dropsondes to document the axisymmetric tropical cyclone (TC) boundary-layer structure, based on storm intensity. A total of 2608 dropsondes from 42 named TCs in the Atlantic basin from 1998 to 2017 are used in the composite analyses. The results show that the axisymmetric inflow layer depth, the height of maximum tangential wind speed, and the thermodynamic mixed layer depth are all shallower in more intense TCs. The results also show that more intense TCs tend to have a deep layer of the near-saturated air inside the radius of maximum wind speed (RMW). The magnitude of the radial gradient of equivalent potential temperature (θe) near the RMW correlates positively with storm intensity. Above the inflow layer, composite structures of TCs with different intensities all possess a ring of anomalously cool temperatures surrounding the warm-core, with the magnitude of the warm-core anomaly proportional to TC intensity. The boundary layer composites presented here provide a climatology of how axisymmetric TC boundary layer structure changes with intensity.

Intensity

Inflow

10.3390/atmos11020158

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Citations (11)

Response of Typical Tree Species Sap Flow to Environmental Factors in the Hilly Areas of Haihe River Basin, China

Forests (2024)

Shuying Han Qingming Wang Yong Zhao Jiaqi Zhai Xiang Wang

Understanding developments in the trunk sap flow of prevalent tree species within the hilly areas of the Haihe River basin is imperative for ecosystem conservation. Nevertheless, the changes in sap flow of local trees and their response to environmental factors remain elusive. This study focuses on seven dominant tree species in the hilly area of the Haihe River basin and analyzed the relationship between tree sap flow rate and environmental factors at different time scales (hourly and daily). Our findings suggested: (1) Regardless of the time scale, total solar irradiance played a primary role in influencing sap flow rate. Conversely, as the time scale grew, the associations between most soil factors and sap flow rate enhanced, while those with meteorological factors declined. Notably, soil temperature exerted a more profound influence on sap flow rate than soil moisture and conductivity. (2) At the hourly scale, the sap flow rate of each species had a lag effect of 1–2 h with vapour pressure deficit, relative humidity and temperature, and 1 h or no lag effect with total solar irradiance and wind speed. (3) The response model of sap flow rate and environmental factors showed that, except for Pinus tabuliformis Carr., other tree species fit well at various time scales (R2 ≥ 0.59). As the time scale of most tree species increased from hourly scale to daily scale, the fit gradually weakened. Concurrently, considering the time-lag effect, the accuracy of the model has been improved, and the fitting accuracy of Koelreuteria paniculata Laxm. and Pinus tabuliformis Carr. has been significantly improved.

10.3390/f15020294

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Eco-environmental protection at low-mountain zone of north slope of Qinling Mountains

Journal of Shaanxi Normal University (2003)

Xiang Wang

With the complex physical geography conditions, the low_mountain zone of the north slope of Qinling Mountains takes on obvious characteristics of frangibility and transition. A series of environment problems are discussed in this article , which are caused by economic exploitation in recent years at the low_mountain zone of north slope of Qinling Mountains, and which include mainly several aspects such as environment deterioration of tourism region, environment destruct of mineral region, the deterioration of biology diversity ,the increase of the water and soil loss and the graveness of flood, etc. In the end a pattern of protection economic development is brought forward that is based on eco_environment protection and takes ecological tour and ecological agriculture as support industry.

Exclusive economic zone

Source

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Soil texture determines the distribution of aggregate-associated carbon, nitrogen and phosphorous under two contrasting land use types in the Loess Plateau

CATENA (2018)

Nannan Ge Xiaorong Wei Xiang Wang Xuetong Liu Mingan Shao

Soil texture

Soil carbon

10.1016/j.catena.2018.08.021

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Citations (119)

Climatic and biotic influences on isotopic differences among topsoil waters in typical alpine vegetation types

CATENA (2021)

Wenyi Qin Guo Chen Peng Wang Xiang Wang Xiaozhen Li

Topsoil

Soil horizon

Ecohydrology

Biotic component

10.1016/j.catena.2021.105375

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Citations (4)

An Adaptive Learning Approach for Tropical Cyclone Intensity Correction

Remote Sensing (2023)

Rui Chen Ralf Toumi Xinjie Shi Xiang Wang Yao Duan

Tropical cyclones (TCs) are dangerous weather events; accurate monitoring and forecasting can provide significant early warning to reduce loss of life and property. However, the study of tropical cyclone intensity remains challenging, both in terms of theory and forecasting. ERA5 reanalysis is a benchmark data set for tropical cyclone studies, yet the maximum wind speed error is very large (68 kts) and is still 19 kts after simple linear correction, even in the better sampled North Atlantic. Here, we develop an adaptive learning approach to correct the intensity in the ERA5 reanalysis, by optimising the inputs to overcome the problems caused by the poor data quality and updating the features to improve the generalisability of the deep learning-based model. Specifically, we use understanding of TC properties to increase the representativeness of the inputs so that the general features can be learned with deep neural networks in the sample space, and then use domain adaptation to update the general features from the known domain with historical storms to the specific features for the unknown domain of new storms. This approach can reduce the error to only 6 kts which is within the uncertainty of the best track data in the international best track archive for climate stewardship (IBTrACS) in the North Atlantic. The method may have wide applicability, such as when extending it to the correction of intensity estimation from satellite imagery and intensity prediction from dynamical models.

Typhoon

Benchmark (surveying)

Intensity

10.3390/rs15225341

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Citations (2)

A quality control procedure for Fengyun-3A microwave temperature sounder with emphasis on a new cloud detection algorithm

Australian Meteorological and Oceanographic Journal (2016)

Xiang Wang Yifang Ren Gang Li

Emphasis (telecommunications)

10.22499/3.6001.004

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