Article
Geography, Physical
Qinghuan Li, Richard Kelly, Juha Lemmetyinen, Roger D. De Roo, Jinmei Pan, Yubao Qiu
Summary: This study found that the permittivity of trees in northern boreal forest regions decreases below freezing temperatures, resulting in an increase in tree vegetation transmissivity. An approximation approach was developed and successfully applied to reduce the impact of the forest temperature-transmissivity relationship on passive microwave frequency difference brightness temperature.
INTERNATIONAL JOURNAL OF DIGITAL EARTH
(2021)
Article
Geosciences, Multidisciplinary
Quan Gan, Liying Qian, Nicholas M. Pedatella, Yen-Jung Wu, John Correira, Wenbin Wang, William E. McClintock, Richard W. Eastes
Summary: This study examines the seasonal variations in the thermosphere, specifically the annual and semiannual oscillations, using observations of the column density ratio of atomic oxygen to molecular nitrogen. The results show that the annual oscillation dominates in middle latitudes, while the semiannual oscillation becomes more important at lower latitudes and is also evident in the southern mid-latitudes. The analysis also reveals that the annual oscillation peaks around winter solstices, while the semiannual oscillation peaks around equinoxes. The study also suggests that atmospheric tides, both in the thermosphere and propagating upward from the lower atmosphere, likely modulate these seasonal variations.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Multidisciplinary Sciences
Fabio Mangini, Antonio Bonaduce, Leon Chafik, Roshin Raj, Laurent Bertino
Summary: This paper evaluates the ability of in-situ and remote sensing instruments to monitor and explain the mass component of sea level along the coast of Norway, and finds a link between the mass component of sea level and along-slope wind stress.
SCIENTIFIC REPORTS
(2023)
Article
Agronomy
Xiao-Peng Song, Haijun Li, Peter Potapov, Matthew C. Hansen
Summary: This study combines long-term satellite and climate data, municipality-level crop yield statistics, and machine learning models to map soybean yield in Brazil. The models achieved good performance with a high-resolution yield map for 2020, demonstrating their predictive capability for future operational yield mapping.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Environmental Sciences
Catherine Prigent, Carlos Jimenez, Lan Anh Dinh, Frederic Frappart, Pierre Gentine, Jean-Pierre Wigneron, Joseph Munchak
Summary: This study documents the variability of tropical forest structure and function using satellite observations from GPM, analyzing the seasonal and diurnal cycles of microwave data for the first time. The analysis reveals diurnal patterns in backscatter and emissivity, with differing behaviors during the dry season in the southeastern Amazonian forest.
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
(2022)
Article
Astronomy & Astrophysics
Mark E. Hervig, David Malaspina, Veerle Sterken, Lynn B. I. I. I. Wilson III, Silvan Hunziker, Scott M. Bailey
Summary: This study examines the variations in interstellar and interplanetary dust flux at Earth using observations from three different satellite techniques. The findings show a correlation between dust influx and the solar magnetic cycle, suggesting that interplanetary dust may respond to changes in the solar magnetic field.
JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS
(2022)
Article
Environmental Sciences
Hao Song, Mengya Sheng, Liping Lei, Kaiyuan Guo, Shaoqing Zhang, Zhanghui Ji
Summary: This study mapped the spatial and temporal distribution of atmospheric CH4 concentrations over monsoon Asia using GOSAT and TROPOMI satellite observations. The results showed a long-term increase in CH4 concentrations with an annual growth rate of approximately 8.4 ppb. The spatial and temporal trends of CH4 variations were significantly correlated with anthropogenic CH4 emissions. The study also revealed the differences in CH4 concentrations and emissions among different urban agglomerations.
Article
Environmental Sciences
Jianhui Xu, Weitao Li, Huaming Xie, Yanxia Wang, Li Wang, Feng Hu
Summary: This study verified the accuracy of methane concentration data in China and investigated its long-term trends and spatial variations. The results showed that methane concentration has been increasing over the past 17 years, with noticeable seasonal variations and significant influences from human activities.
Article
Environmental Sciences
Lin Zhao, Nan Li, Hui Li, Renlong Wang, Menghao Li
Summary: The study investigates the periodic noise and its variations in BDS clock offsets, quantifies them using short time Fourier transform, and improves the clock prediction model by considering the periodic variations. The experiment results show that the time frequency analysis model based on STFT has a better fitting and prediction accuracy compared to the spectral analysis model, with an average improvement of 6.4% to 14.4% for clock offsets.
Article
Environmental Sciences
Songhan Wang, Yongguang Zhang, Weimin Ju, Bo Qiu, Zhaoying Zhang
Summary: Researchers used satellite data to generate a global long-term GPP dataset and found that NIRv can accurately capture the seasonal and annual variations of GPP. Analysis at 104 flux sites showed that this dataset can effectively estimate global vegetation primary productivity.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Oceanography
Po-Chun Hsu, Luca Centurioni, Huan-Jie Shao, Quanan Zheng, Ching-Yuan Lu, Tai-Wen Hsu, Ruo-Shan Tseng
Summary: Research on ocean currents in the southern East China Sea has revealed complex flow structures and seasonal water mass exchange cycles. Data from coastal radars in northern Taiwan, drifters, and satellite observations have provided detailed information on surface currents, resolving disputes over the surface currents in this area.
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
(2021)
Article
Environmental Sciences
Ryan M. Riggs, George H. Allen, Jida Wang, Tamlin M. Pavelsky, Colin J. Gleason, Cedric H. David, Michael Durand
Summary: Long-term, continuous, and real-time streamflow records are crucial for understanding and managing freshwater resources. However, a significant portion of global gauge records are discontinuous and lack real-time data. To fill in the gaps, river width observations from satellite imagery have been used to estimate daily discharge at over 2000 gauge locations worldwide. This method improves our ability to monitor and manage river resources.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Remote Sensing
Victor Fernandez-Garcia, Christian A. Kull
Summary: Sentinel-2 imagery reveals a significant underestimation of burned area compared to previous satellite products. This study investigates the predictability of biases between different BA products and develops tools to refine historical BA data. Random forest models are used to reconstruct BA data, which show a high correspondence with reference data, reducing biases. The proposed models provide operational solutions for obtaining virtually unbiased BA estimates since 2000.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Article
Environmental Sciences
Wojciech Jarmolowski, Pawel Wielgosz, Manuel Hernandez-Pajares, Heng Yang, Beata Milanowska, Anna Krypiak-Gregorczyk, Enric Monte-Moreno, Alberto Garcia-Rigo, Victoria Graffigna, Roger Haagmans
Summary: Swarm electron density (Ne) observations can detect ionospheric disturbances and spectral analysis is used to decompose the signals into different frequencies. In this study, high-resolution short-term Fourier transform (STFT) is applied to Swarm Ne observations in the Papua New Guinea region to investigate the correlation with seismic activity and other indices. The results show that Swarm LP is capable of observing lithosphere-atmosphere-ionosphere coupling.
Article
Environmental Sciences
Zhi-Weng Chua, Yuriy Kuleshov, Andrew B. Watkins, Suelynn Choy, Chayn Sun
Summary: This study presents an approach to develop a blended satellite-rainfall dataset over Australia. The blended dataset, which integrates Global Satellite Mapping of Precipitation (GSMaP) satellite precipitation estimates with station-based rain gauge data, exhibits improved performance compared to other non-gauge-based datasets. The proposed method effectively reduces biases and produces more realistic rainfall patterns.
Article
Meteorology & Atmospheric Sciences
Mukul Tewari, Fei Chen, Jimy Dudhia, Pallav Ray, Shiguang Miao, Efthymios Nikolopoulos, Lloyd Treinish
Summary: This article investigates the spatio-temporal variability of precipitation during the extreme rainfall event in Beijing in 2012, as well as the uncertainties in short-range weather forecasts. By using high-resolution urban-aware simulations, the authors find that the microphysics parameterizations and model initialization time greatly affect the forecast accuracy. Recommendations for improvement are also proposed.
ATMOSPHERIC RESEARCH
(2022)
Article
Meteorology & Atmospheric Sciences
Pratiman Patel, Sajad Jamshidi, Raghu Nadimpalli, Daniel G. Aliaga, Gerald Mills, Fei Chen, Matthias Demuzere, Dev Niyogi
Summary: This study evaluates the impact of land surface models and urban heterogeneity on air temperature simulated by the Weather Research and Forecasting model during a regional extreme event. The results show that implementing local climate zones significantly improves the temperature simulations, altering the surface energy balance and affecting temperatures beyond the urban regions. The impact of land surface model selection is more significant than the inclusion of local climate zones.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2022)
Article
Environmental Sciences
Ronnie Abolafia-Rosenzweig, Cenlin He, Fei Chen
Summary: This study predicts summer fire burned area in the western United States from 1984 to 2020 and finds that winter and spring climate conditions play an important role in summer fire activity. The study also highlights the significance of antecedent climate conditions in non-forested and middle-to-high elevation areas.
ENVIRONMENTAL RESEARCH LETTERS
(2022)
Article
Environmental Sciences
Prasanth Valayamkunnath, David J. Gochis, Fei Chen, Michael Barlage, Kristie J. Franz
Summary: Subsurface tile drainage (TD) is a common practice in improving crop production in poorly drained soils, but there is a lack of understanding about its regional impact on hydrology. This study incorporated a TD scheme into the National Water Model (NWM) and found that it improved the model's performance in heavily tile-drained areas. The TD scheme increased streamflow peaks, volume, and baseflow, while reducing surface runoff, groundwater recharge, evapotranspiration, and soil moisture content. These findings highlight the importance of considering TD in hydrological models.
WATER RESOURCES RESEARCH
(2022)
Article
Environmental Sciences
Z. Zhang, F. Chen, M. Barlage, L. E. Bortolotti, J. Famiglietti, Z. Li, X. Ma, Y. Li
Summary: This study aims to dynamically represent the spatial extents and hydrological processes of wetlands in the Prairie Pothole Region (PPR) and investigate their feedback to regional climate. The wetland simulations show a cooling effect on summer temperatures, especially in areas with high wetland coverage.
WATER RESOURCES RESEARCH
(2022)
Article
Environmental Sciences
Quang-Van Doan, Fei Chen, Hiroyuki Kusaka, Anurag Dipankar, Ansar Khan, Rafiq Hamdi, Matthias Roth, Dev Niyogi
Summary: In an urban agglomeration in the tropics, Singapore, future global warming is predicted to increase the frequency and intensity of extreme precipitation events. The intensification of extreme precipitation can reach maximum rates, implying that extreme events will become more extreme. However, the increase in intensity is less for moderate and light precipitation. Furthermore, global warming dampens the urban effect on extreme precipitation events.
Correction
Meteorology & Atmospheric Sciences
Yun Qian, T. C. Chakraborty, Jianfeng Li, Dan Li, Cenlin He, Chandan Sarangi, Fei Chen, Xuchao Yang, L. Ruby Leung
ADVANCES IN ATMOSPHERIC SCIENCES
(2023)
Article
Meteorology & Atmospheric Sciences
Avinash N. Parde, Sachin D. Ghude, Ashish Sharma, Narendra G. Dhangar, Gaurav Govardhan, Sandeep Wagh, R. K. Jenamani, Prakash Pithani, Fei Chen, M. Rajeevan, Dev Niyogi
Summary: The present study emphasizes the role of high-resolution land data assimilation in improving the prediction of radiation fog and near-surface meteorological variables. The performance of the Weather Research and Forecasting (WRF) model coupled with the High-Resolution Land Data Assimilation System (HRLDAS) is evaluated for a dense fog event in Delhi, India. The study finds that the combination of HRLDAS and Pleim-Xiu land-surface parameterizations significantly improves the accuracy of predicting micro-meteorological variables and Turbulent Kinetic Energy (TKE) during the fog event.
ATMOSPHERIC RESEARCH
(2022)
Article
Geosciences, Multidisciplinary
Quang-Van Doan, Fei Chen, Yuki Asano, Ying Gu, Akifumi Nishi, Hiroyuki Kusaka, Dev Niyogi
Summary: This study investigates the response of diurnal temperature range (DTR) to future global warming using a high-resolution climate model. The results demonstrate that global warming will lead to a faster increase in minimum temperature (T-min) compared to maximum temperature (T-max), resulting in a reduction in DTR.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Multidisciplinary Sciences
Liying Guo, Liping Di, Chen Zhang, Li Lin, Fei Chen, Alamin Molla
Summary: This study develops a general method to evaluate the contributions of localized urbanization and global climate change to long-term urban land surface temperature change. The method is applied to Lagos as an example, and the results show that both localized urbanization and global warming contribute to the increase in urban land surface temperature, with daytime temperature increasing the most and urbanization being responsible for a significant portion of urban warming in Lagos.
SCIENTIFIC REPORTS
(2022)
Article
Meteorology & Atmospheric Sciences
Ronnie Abolafia-Rosenzweig, Cenlin He, S. McKenzie Skiles, Fei Chen, David Gochis
Summary: This study evaluates and optimizes the ground snow albedo algorithm within the Noah-MP LSM using in situ albedo observations. The optimized parameters improve the agreement between simulated and observed ground snow albedo and reveal significant correlations between fresh-snow albedo and surface meteorological conditions.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2022)
Article
Environmental Sciences
Yingze Tian, Tongren Xu, Fei Chen, Xinlei He, Shi Li
Summary: This study demonstrates that data assimilation can significantly improve the accuracy of short-term land surface variable predictions, with the assimilation impact lasting up to 60-100 days.
Article
Environmental Sciences
Yulu Zan, Yanhong Gao, Yingsha Jiang, Yongjie Pan, Xia Li, Peixi Su
Summary: The seasonal variation of Poyang Lake has significant effects on the local weather. A deeper and larger lake reduces local temperature, restrains precipitation, and a lower lake level and smaller area increases temperature and precipitation but changes the fall zone.
Article
Meteorology & Atmospheric Sciences
Quang-Van Doan, Fei Chen, Hiroyuki Kusaka, Jie Wang, Mizuo Kajino, Tetsuya Takemi
Summary: This study investigates the change of hourly extreme precipitation in Tokyo, Japan under warmer climate regimes. The results show a substantial enhancement of local hourly precipitation in terms of both frequency and intensity. The intensification of extreme precipitation is attributed to the convective inhibition enhancement caused by global warming. The study highlights the geographic diversity in the response of precipitation to global warming.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2022)
Article
Meteorology & Atmospheric Sciences
Jie Wang, Shiguang Miao, Quang-Van Doan, Fei Chen, Ronnie Abolafia-Rosenzweig, Long Yang, Guwei Zhang, Yizhou Zhang, Jingjing Dou, Youpeng Xu
Summary: Detailed urban information, such as LULC, AH, and UCP, significantly influence meteorological field simulations, particularly when using the WRF model coupled with the SLUCM. This study develops high-resolution datasets for Nanjing, China, and conducts numerical experiments to evaluate the impacts of urban parameters on the thermal environment. Results show that LULC change affects various factors, including temperature, wind speed, and heat flux, leading to urban warming. UCP and AH also contribute to the increase in temperature and other thermal effects.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)