Article
Geosciences, Multidisciplinary
A. Sledd, T. S. L'Ecuyer, J. E. Kay, M. Steele
Summary: As Arctic sea ice retreats, the warming of the upper ocean in response to atmospheric heat fluxes is influenced by the timing of sea ice retreat and the radiative impacts of clouds. Clouds can reflect solar radiation and counteract summer warming, explaining up to 13% more variability in maximum annual sea surface temperatures under modern-day CO2 concentrations. Summer clouds have little direct effect on maximum annual SST under pre-industrial CO2 concentrations, but they become three times more sensitive when CO2 concentrations are four times pre-industrial levels.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Francesco Stante, Sofia L. Ermida, Carlos C. DaCamara, Frank-Michael Gottsche, Isabel F. Trigo
Summary: This study analyzes three operational satellite-based thermal-infrared land surface temperature (LST) products under conditions of heavy dust aerosol loading. The results show large differences between satellite LST and ERA5's skin temperature (SKT) during periods of high dust activity, indicating an underestimation of LST in heavy dust aerosol conditions. In situ measurements and analysis of aerosol-induced biases provide additional evidence for this underestimation. The impact of atmospheric water vapor content on LST and SKT is also examined, but dust aerosols are shown to be the primary driver of the inaccurate LSTs observed. This study highlights a shortcoming of current operational LST retrieval algorithms that must be addressed.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Multidisciplinary Sciences
Yiqun Tian, Shineng Hu, Clara Deser
Summary: This study finds that the tropical Indian Ocean has experienced enhanced surface warming compared to the tropical mean in the past century. Changes in biomass burning aerosols are identified as a critical driver for this warming. These aerosol changes have little effect on global mean temperatures but significantly influence the pattern of warming over the tropical oceans, resulting in global climate changes.
NATURE COMMUNICATIONS
(2023)
Article
Environmental Sciences
Claire E. Bulgin, Owen Embury, Ross I. Maidment, Christopher J. Merchant
Summary: Cloud detection is crucial in generating land surface temperature climate data records. This study presents a sensor-independent Bayesian cloud detection algorithm and demonstrates its effectiveness in producing accurate records. The algorithm is tested on multiple instruments and shows consistent performance, ensuring observation stability over time.
Article
Meteorology & Atmospheric Sciences
John A. Augustine, Antonietta Capotondi
Summary: The long-term variation of North Pacific and North Atlantic sea surface temperatures is associated with multidecadal trends of surface solar radiation in North America, Europe, and Asia. Warm SST anomalies lead to increased cloud cover and dimming of surface solar radiation, while cool SST anomalies correspond to decreased cloud cover and brightening over the continents. These associations are stronger in the northern half of the Northern Hemisphere. In the North Atlantic, there is a lag of about 12 years between the transition of dimming to brightening and SST reversals.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2022)
Article
Multidisciplinary Sciences
Chenyu Zhu, Zhengyu Liu, Shaoqing Zhang, Lixin Wu
Summary: An optimal salinity fingerprint is proposed to detect the long-term Atlantic meridional overturning circulation (AMOC) response to anthropogenic forcing. A real-word application suggests a likely accelerated weakening of the AMOC in recent decades. Our study provides observational and modeling evidence for a likely accelerated weakening of the AMOC since the 1980s under the combined forcing of anthropogenic greenhouse gases and aerosols. This finding has significant implications for understanding the future climate impacts associated with AMOC weakening.
NATURE COMMUNICATIONS
(2023)
Article
Multidisciplinary Sciences
Shang Liu, Cheng-Cheng Liu, Karl D. Froyd, Gregory P. Schill, Daniel M. Murphy, T. Paul Bui, Jonathan M. Dean-Day, Bernadett Weinzierl, Maximilian Dollner, Glenn S. Diskin, Gao Chen, Ru-Shan Gao
Summary: Research shows that higher sea surface temperature (SST) promotes the generation of sea spray aerosol (SSA) mass in the remote Pacific and Atlantic Oceans, and considering SST greatly enhances the predictability of SSA concentration variability.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Geosciences, Multidisciplinary
Ben Marzeion
Summary: The rise in sea level due to global warming results in a reduction in Earth's overall albedo, leading to a weak but positive feedback loop which may strengthen with time.
EARTH SYSTEM DYNAMICS
(2021)
Article
Multidisciplinary Sciences
Chengfei He, Amy C. Clement, Sydney M. Kramer, Mark A. Cane, Jeremy M. Klavans, Tyler M. Fenske, Lisa N. Murphy
Summary: The multidecadal variability in the tropical Atlantic climate is influenced by the cross-equatorial gradient in sea surface temperatures (SSTs), which is largely driven by radiative perturbations associated with anthropogenic emissions and volcanic aerosols. This relationship is obscured in models due to overestimations of warming trends in the Northern Hemisphere. However, when these overestimations are removed, correlations between SSTs and Atlantic hurricane formation and Sahel rainfall emerge, especially since 1950 when anthropogenic aerosol forcing has been high.
Article
Environmental Sciences
Pavel Kishcha, Boris Starobinets
Summary: Based on METEOSAT geostationary satellite data, spatial heterogeneity in Dead Sea surface temperature is more pronounced in summer than in winter, with different daily temperature ranges. This may be associated with inhomogeneity in evaporation.
Article
Geochemistry & Geophysics
Rui Yao, Lunche Wang, Xin Huang, Liang Sun, Ruiqing Chen, Xiaojun Wu, Wei Zhang, Zigeng Niu
Summary: The study introduced an enhanced hybrid (EH) method for gapfilling, utilizing information from similar LST products to improve accuracy. Results showed that the EH method had higher accuracy compared to other methods, demonstrating the effectiveness of using information from other similar products.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Geochemistry & Geophysics
Xiwei Fan, Gaozhong Nie, Yaohui Liu, Li Ni, Chaoxu Xia
Summary: This study focuses on reducing cloud influence on MODIS longwave SST retrieval. Support vector regression models were used to improve SST estimation accuracy under cloudy conditions.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Meteorology & Atmospheric Sciences
S. Kalluri, C. Cao, A. Heidinger, A. Ignatov, J. Key, T. Smith
Summary: AVHRR has been on NOAA satellites since 1978, providing the longest global record of Earth observations. It has been crucial for developing new-generation sensors and data processing algorithms. Over 40 years of data have been essential for studying Earth and its change.
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
(2021)
Article
Engineering, Electrical & Electronic
Yuting Qi, Lei Zhong, Yaoming Ma, Yunfei Fu, Xian Wang, Peizhen Li
Summary: Land surface temperature (LST) is crucial in the Earth's climate system, and its retrieval from satellites is challenging, especially in plateau areas. This study used various methods, including the single channel (SC) algorithm, the split-window (SW) algorithm, and machine learning (ML) models, to improve LST retrieval accuracy over the Tibetan Plateau (TP). The SW algorithm showed better performance, with a lower root-mean-square error (RMSE) of 2.64 K, compared to the official SLSTR LST products (5.23 K), and the random forest model had the highest accuracy with an RMSE of 3.26 K.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Geochemistry & Geophysics
Chaluparambil B. Lima, Sakuru V. S. Sai Krishna, Shivali Verma, Sudhakaran S. Prijith, Muvva Ramana
Summary: This study evaluates the impact of anthropogenic aerosols on clouds over the Arabian Sea and finds distinct differences in cloud macrophysical properties under polluted and maritime conditions. Elevated absorbing aerosol layers primarily drive the observed changes in cloud properties, and the mutual position of aerosol and cloud layers suggests a more complicated cloud regime-dependent process.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Ruonan Chen, Liangyun Liu, Xinjie Liu, Zhunqiao Liu, Lianhong Gu, Uwe Rascher
Summary: This study presents methods to accurately estimate sub-daily GPP from SIF in evergreen needleleaf forests and demonstrates that the interactions among light, canopy structure, and leaf physiology regulate the SIF-GPP relationship at the canopy scale.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Daniel L. Goldberg, Madankui Tao, Gaige Hunter Kerr, Siqi Ma, Daniel Q. Tong, Arlene M. Fiore, Angela F. Dickens, Zachariah E. Adelman, Susan C. Anenberg
Summary: A novel method is applied in this study to directly use satellite data to evaluate the spatial patterns of urban NOx emissions inventories. The results show that the 108 spatial surrogates used by NEMO are generally appropriate, but there may be underestimation in areas with dense intermodal facilities and overestimation in wealthy communities.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Zhuoyue Hu, Xiaoyan Li, Liyuan Li, Xiaofeng Su, Lin Yang, Yong Zhang, Xingjian Hu, Chun Lin, Yujun Tang, Jian Hao, Xiaojin Sun, Fansheng Chen
Summary: This paper proposes a whisk-broom imaging method using a long-linear-array detector and high-precision scanning mirror to achieve high-resolution and wide-swath thermal infrared data. The method has been implemented in the SDGs satellite and has shown promising test results.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Dandan Wang, Leiqiu Hu, James A. Voogt, Yunhao Chen, Ji Zhou, Gaijing Chang, Jinling Quan, Wenfeng Zhan, Zhizhong Kang
Summary: This study evaluates different schemes for determining model coefficients to quantify and correct the anisotropic impact from remote sensing LST for urban applications. The schemes have consistent results and accurately estimate parameter values, facilitating the broadening of parametric models.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Jamie Tolan, Hung - Yang, Benjamin Nosarzewski, Guillaume Couairon, Huy V. Vo, John Brandt, Justine Spore, Sayantan Majumdar, Daniel Haziza, Janaki Vamaraju, Theo Moutakanni, Piotr Bojanowski, Tracy Johns, Brian White, Tobias Tiecke, Camille Couprie
Summary: Vegetation structure mapping is crucial for understanding the global carbon cycle and monitoring nature-based approaches to climate adaptation and mitigation. This study presents the first high-resolution canopy height maps for California and Sao Paulo, achieved through the use of very high resolution satellite imagery and aerial lidar data. The maps provide valuable tools for forest structure assessment and land use monitoring.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Regina Eckert, Steffen Mauceri, David R. Thompson, Jay E. Fahlen, Philip G. Brodrick
Summary: In this paper, a mathematical framework is proposed to improve the retrieval of surface reflectance and atmospheric parameters by leveraging the expected spatial smoothness of the atmosphere. Experimental results show that this framework can reduce the surface reflectance retrieval error and surface-related biases.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Chongya Jiang, Kaiyu Guan, Yizhi Huang, Maxwell Jong
Summary: This study presents the Field Rover method, which uses vehicle-mounted cameras to collect ground truth data on crop harvesting status. The machine learning approach and remote sensing technology are employed to upscale the results to a regional scale. The accuracy of the remote sensing method in predicting crop harvesting dates is validated through comparison with satellite data.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Oksana V. Lunina, Anton A. Gladkov, Alexey V. Bochalgin
Summary: In this study, an unmanned aerial vehicle (UAV) was used to detect and map surface discontinuities with displacements of a few centimeters, indicating the presence of initial geological deformations. The study found that sediments of alluvial fans are susceptible to various tectonic and exogenous deformational processes, and the interpretation of ultra-high resolution UAV images can help recognize low-amplitude brittle deformations at an early stage. UAV surveys are critical for discerning neotectonic activity and its related hazards over short observation periods.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Feng Zhao, Weiwei Ma, Jun Zhao, Yiqing Guo, Mateen Tariq, Juan Li
Summary: This study presents a data-driven approach to reconstruct the terrestrial SIF spectrum using measurements from the TROPOMI instrument on Sentinel-5 precursor mission. The reconstructed SIF spectrum shows improved spatiotemporal distributions and demonstrates consistency with other datasets, indicating its potential for better understanding of the ecosystem function.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Stephen Stehman, John E. Wagner
Summary: This article investigates optimal sample allocation in stratified random sampling for estimation of accuracy and proportion of area in applications where the target class is rare. The study finds that precision of estimated accuracy has a stronger impact on sample allocation than estimation of proportion of area, and the trade-offs among these estimates become more pronounced as the target class becomes rarer. The results provide quantitative evidence to guide sample allocation decisions in specific applications.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Jingyao Zheng, Tianjie Zhao, Haishen Lu, Defu Zou, Nemesio Rodriguez-Fernandez, Arnaud Mialon, Philippe Richaume, Jianshe Xiao, Jun Ma, Lei Fan, Peilin Song, Yonghua Zhu, Rui Li, Panpan Yao, Qingqing Yang, Shaojie Du, Zhen Wang, Zhiqing Peng, Yuyang Xiong, Zanpin Xing, Lin Zhao, Yann Kerr, Jiancheng Shi
Summary: Soil moisture and freeze/thaw (F/T) play a crucial role in water and heat exchanges at the land-atmosphere interface. This study reports the establishment of a wireless sensor network for soil moisture and temperature over the permafrost region of Tibetan Plateau. Satellite-based surface soil moisture (SSM) and F/T products were evaluated using ground-based measurements. The results show the reliability of L-band passive microwave SSM and F/T products, while existing F/T products display earlier freezing and later thawing, leading to unsatisfactory accuracy.
REMOTE SENSING OF ENVIRONMENT
(2024)
