Article
Environmental Sciences
Sung Min Cha, Seung Won Lee
Summary: The accuracy of watershed model results heavily relies on accurate rainfall input data. This study suggests using adjusted radar-rainfall estimates as alternative input data for watershed modeling, demonstrating their effectiveness through comparison and calibration with ground-based rainfall measurements.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Engineering, Civil
Thien Huy Truong Nguyen, Bree Bennett, Michael Leonard
Summary: Stochastic rainfall models are important for evaluating hydrological risks, but there are discrepancies between rainfall metrics and flow metrics. The performance of different models varies depending on the strictness of the flow-based comparison and the region analyzed.
JOURNAL OF HYDROLOGY
(2023)
Article
Engineering, Civil
Hristos Tyralis, Georgia Papacharalampous, Sina Khatami
Summary: This paper introduces a method to estimate the uncertainty of hydrological simulations using expectiles. The method is applied to 511 basins and compares different hydrological models. The results show that the GR6J model outperforms the other two models at all expectile levels.
JOURNAL OF HYDROLOGY
(2023)
Article
Environmental Sciences
Hristos Tyralis, Georgia Papacharalampous
Summary: Predictive uncertainty in hydrological modelling is quantified using post-processing or Bayesian-based methods, but a new approach using the quantile loss function is proposed to alleviate limitations and advance the field of hydrological uncertainty. By calibrating the model with this method, pre-specified quantiles of the predictive distribution of streamflow can be directly simulated, allowing for an honest assessment of predictive performance through proper scoring rules.
Article
Water Resources
Siavash P. Markhali, Annie Poulin, Marie-Amelie Boucher
Summary: The main objective of this paper is to quantify the uncertainty associated with the spatio-temporal variability of catchment descriptors in distributed hydrology models, and its impact on simulating flooding events. The researchers use an ensemble approach to characterize the uncertainties of spatio-temporal variations. They calibrate two hydrological models and simulate six catchments with different sizes and characteristics in southern Quebec. The results show that the spatial resolution of the models has a significant effect on the uncertainty, while catchment size and temporal scale have a minor role.
HYDROLOGICAL PROCESSES
(2022)
Article
Geosciences, Multidisciplinary
Peishi Jiang, Pin Shuai, Alexander Sun, Maruti K. Mudunuru, Xingyuan Chen
Summary: A novel knowledge-informed deep learning method is proposed for efficient hydrological model calibration. The method involves two steps: selecting decisive model parameters based on mutual information analysis and constructing an inverse mapping using a deep neural network. The method is applied to calibrate the ATS model and improves its simulation performance.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2023)
Article
Engineering, Civil
Kirubel Mekonnen, Assefa M. Melesse, Tekalegn Ayele Woldesenbet
Summary: This study evaluated the impact of temporal sampling mismatch between Satellite Rainfall Estimates (SREs) and rain gauge data on the frequency analysis of daily rainfall extremes in the Upper Awash basin in Ethiopia. Results showed that 1-hr and 3-hr temporal discrepancies between SREs and gauges produced comparable results, but different outcomes were observed with increasing temporal mismatch. The study also found that IMERG v06B outperformed TRMM 3B42v7 in estimating Metastastical Extreme Value Distribution (MEVD) parameters and high quantiles of daily rainfall.
JOURNAL OF HYDROLOGY
(2021)
Article
Mathematics, Interdisciplinary Applications
Qi Liu, Xiaolong Zhao, Hongyan Wang, Yongfeng Sun
Summary: The Biliu River in Dalian originates from the southern foot of Qinling Mountain in Gaizhou city, with an elevation of 1047 m. The river's hydrological elements mainly include rainfall, runoff, temperature, and evaporation, among others. This paper establishes a reservoir scheduling model that considers multiple uncertainty factors and analyzes the influence of mixed uncertainty on reservoir scheduling and Xingli's objectives based on probability box theory.
Article
Meteorology & Atmospheric Sciences
Cong Jiang, Eric J. R. Parteli, Qian Xia, Yaping Shao
Summary: This study evaluates the accuracy of six precipitation reanalysis products in the Yellow River Basin and identifies the China Meteorological Forcing Dataset (CMFD) and WATCH Forcing Data methodology applied to ERA5 (WFDE5/CRU+GPCC) as the most accurate products. It is found that non-gauge-corrected products tend to overestimate precipitation, especially in mountainous regions. The study also highlights the impact of precipitation representation on model response, particularly in extreme rainfall events and calibrated soil parameters.
THEORETICAL AND APPLIED CLIMATOLOGY
(2023)
Article
Water Resources
Bong-Chul Seo, Witold F. Krajewski
Summary: This study investigates the multi-scale aspects of radar-rainfall conditional error, finding that the error distribution gradually approaches the Gaussian distribution with longer temporal scale, while the error feature with respect to spatial scale appears to be almost scale-invariant. The authors utilized a nonparametric kernel regression approach and second-order separation method to decompose the systematic and random error components, providing insights into the conditional error structure.
ADVANCES IN WATER RESOURCES
(2021)
Article
Engineering, Civil
James C. Bennett, David E. Robertson, Quan J. Wang, Ming Li, Jean-Michel Perraud
Summary: The revised ERRIS error model proposes a technique called 'stochastic updating' to propagate uncertainty through multiple lead times. By controlling the interplay of autoregression coefficient and error distribution width, applying moving average bias-correction, and restricting the autoregressive model, reliable ensembles at long lead times are ensured while guarding against over-correction.
JOURNAL OF HYDROLOGY
(2021)
Article
Water Resources
Felix Salgado-Castillo, Miguel Barrios, Jorge Velez Upegui
Summary: This study aimed to determine precipitation uncertainty using an error model based on the skew normal distribution function and evaluate its impact on simulated flow. The results show that the hydrological model's performance is more sensitive to the location of the meteorological station than the number of stations employed.
HYDROLOGICAL SCIENCES JOURNAL
(2023)
Article
Engineering, Civil
Bin Yi, Lu Chen, Yizhuo Liu, Hexiang Guo, Zhiyuan Leng, Xiaoxue Gan, Tao Xie, Ziyi Mei
Summary: This study proposes an improved runoff generation strategy for surface runoff and subsurface runoff. A novel conceptual method is developed for subsurface stormflow in unsaturated areas, by combining the Green-Ampt equation with the parabolic infiltration capacity distribution curve. The proposed strategy considers infiltration excess and saturation excess, and performs well in the case study, significantly affecting the accuracy of simulation results.
JOURNAL OF HYDROLOGY
(2023)
Article
Environmental Sciences
Moritz Feigl, Stephan Thober, Robert Schweppe, Mathew Herrnegger, Luis Samaniego, Karsten Schulz
Summary: Parameter estimation is a challenging task in large-scale distributed modeling. This study presents the first large-scale application of automatic parameter transfer function (TF) estimation for a complex hydrological model. By relating model parameters to catchment/landscape characteristics, it reduces the number of parameters and enables the transfer of hydrological model parameters in time and space. The results show that using automatic TF estimation can achieve high performance in ungauged basins.
WATER RESOURCES RESEARCH
(2022)
Article
Geosciences, Multidisciplinary
Lorenzo Alfieri, Francesco Avanzi, Fabio Delogu, Simone Gabellani, Giulia Bruno, Lorenzo Campo, Andrea Libertino, Christian Massari, Angelica Tarpanelli, Dominik Rains, Diego G. Miralles, Raphael Quast, Mariette Vreugdenhil, Huan Wu, Luca Brocca
Summary: This study demonstrates the application of high-resolution satellite-based Earth observation (EO) data in hydrological modeling. By using satellite data for model forcing, data assimilation, and calibration, accurate estimates of river discharge can be obtained. Despite slightly worse skills compared to conventional data, satellite data shows potential for fully satellite-driven hydrological applications.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2022)
Article
Geosciences, Multidisciplinary
Eduardo Cassiraga, J. Jaime Gomez-Hernandez, Marc Berenguer, Daniel Sempere-Torres, Javier Rodrigo-Ilarri
Summary: This study combines radar and rain gauge data for precipitation interpolation, considering temporal correlations using kriging with external drift. By tracking rainfall movement using a Lagrangian system of coordinates, the proposed approach outperforms radar estimation and other kriging methods in terms of rainfall estimation accuracy.
MATHEMATICAL GEOSCIENCES
(2021)
Article
Engineering, Electrical & Electronic
Jayaram Pudashine, Carlos Velasco-Forero, Mark Curtis, Adrien Guyot, Valentijn R. N. Pauwels, Jeffrey P. Walker, Alan Seed
Summary: A novel approach for attenuation forecasts of microwave links using a probabilistic method was proposed in this study, which used ensembles of forecast rainfall fields to easily derive attenuation forecasts for specific frequencies. The method generated high-resolution forecast rainfall fields with lead times of 15-90 minutes, showing accurate results for short lead times.
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS
(2021)
Article
Environmental Sciences
Nivedita Sairam, Fabio Brill, Tobias Sieg, Mostafa Farrag, Patric Kellermann, Viet Dung Nguyen, Stefan Luedtke, Bruno Merz, Kai Schroeter, Sergiy Vorogushyn, Heidi Kreibich
Summary: Large-scale flood risk assessments are crucial for decision making, and the RFM has been used to simulate a 5000-year flood event catalog for all major catchments in Germany. The commercial sector dominates the total risk, while the agriculture sector contributes less than 3%. The spatially consistent risk estimates provided by RFM will serve as a benchmark for future German-wide flood risk assessments.
Article
Water Resources
Mostafa Farrag, Fabio Brill, Nguyen Viet Dung, Nivedita Sairam, Kai Schroeter, Heidi Kreibich, Bruno Merz, Karin M. de Bruijn, Sergiy Vorogushyn
Summary: Hydrodynamic interactions and floodplain storage have significant impacts on flood risk and risk assessments. Accurate risk assessments require a systematic approach and careful consideration of floodplain storage and hydrodynamic interactions.
HYDROLOGICAL SCIENCES JOURNAL
(2022)
Article
Engineering, Geological
Rosa M. Palau, Marc Berenguer, Marcel Hurlimann, Daniel Sempere-Torres
Summary: This paper presents the rainfall and landslide datasets collected during the Gloria storm and evaluates the performance of a regional landslide early warning system. The study shows that the warning system accurately predicted landslides in areas with significant rainfall.
Article
Multidisciplinary Sciences
Heidi Kreibich, Anne F. Van Loon, Kai Schroeter, Philip J. Ward, Maurizio Mazzoleni, Nivedita Sairam, Guta Wakbulcho Abeshu, Svetlana Agafonova, Amir AghaKouchak, Hafzullah Aksoy, Camila Alvarez-Garreton, Blanca Aznar, Laila Balkhi, Marlies H. Barendrecht, Sylvain Biancamaria, Liduin Bos-Burgering, Chris Bradley, Yus Budiyono, Wouter Buytaert, Lucinda Capewell, Hayley Carlson, Yonca Cavus, Anais Couasnon, Gemma Coxon, Ioannis Daliakopoulos, Marleen C. de Ruiter, Claire Delus, Mathilde Erfurt, Giuseppe Esposito, Didier Francois, Frederic Frappart, Jim Freer, Natalia Frolova, Animesh K. Gain, Manolis Grillakis, Jordi Oriol Grima, Diego A. Guzman, Laurie S. Huning, Monica Ionita, Maxim Kharlamov, Dao Nguyen Khoi, Natalie Kieboom, Maria Kireeva, Aristeidis Koutroulis, Waldo Lavado-Casimiro, Hong-Yi Li, Maria Carmen LLasat, David Macdonald, Johanna Mard, Hannah Mathew-Richards, Andrew McKenzie, Alfonso Mejia, Eduardo Mario Mendiondo, Marjolein Mens, Shifteh Mobini, Guilherme Samprogna Mohor, Viorica Nagavciuc, Thanh Ngo-Duc, Thi Thao Nguyen Huynh, Pham Thi Thao Nhi, Olga Petrucci, Hong Quan Nguyen, Pere Quintana-Segui, Saman Razavi, Elena Ridolfi, Jannik Riegel, Md Shibly Sadik, Elisa Savelli, Alexey Sazonov, Sanjib Sharma, Johanna Sorensen, Felipe Augusto Arguello Souza, Kerstin Stahl, Max Steinhausen, Michael Stoelzle, Wiwiana Szalinska, Qiuhong Tang, Fuqiang Tian, Tamara Tokarczyk, Carolina Tovar, Thi Van Thu Tran, Marjolein H. J. Van Huijgevoort, Michelle T. H. van Vliet, Sergiy Vorogushyn, Thorsten Wagener, Yueling Wang, Doris E. Wendt, Elliot Wickham, Long Yang, Mauricio Zambrano-Bigiarini, Gunter Bloschl, Giuliano Di Baldassarre
Summary: Risk management can reduce the impacts of floods and droughts, but faces difficulties in managing unprecedented events of a greater magnitude. Improved risk management and integrated management can help lower the impacts of more hazardous events.
Article
Environmental Sciences
Max Steinhausen, Dominik Paprotny, Francesco Dottori, Nivedita Sairam, Lorenzo Mentaschi, Lorenzo Alfieri, Stefan Luedtke, Heidi Kreibich, Kai Schroeter
Summary: Flooding is the most costly natural hazard in Europe, and the current climate and socioeconomic changes are expected to further increase future losses. The study reveals that urban centers and their surrounding regions are the hotspots of flood risk in Europe, with flooding risks projected to rise in the British Isles and Central Europe throughout the 21st century.
GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
(2022)
Article
Environmental Sciences
Erika R. Melendez-Landaverde, Daniel Sempere-Torres
Summary: This paper presents a community-centred framework called SS-EWS for co-designing and evaluating an early warning system with vulnerable communities in high-risk areas. The SS-EWS, utilizing radar-based nowcasting and numerical weather prediction models, shows promising results in triggering warnings and reducing risk.
JOURNAL OF FLOOD RISK MANAGEMENT
(2022)
Article
Engineering, Geological
Rosa. M. M. Palau, Marc Berenguer, Marcel Hurlimann, Daniel Sempere-Torres
Summary: Soil moisture is important for slope stability. Most existing landslide early warning systems rely on rainfall information, but this study explores the potential of using modelled soil moisture data in the Catalonia region landslide early warning system. By combining rainfall and soil moisture information, empirical hydrometeorological thresholds have been obtained and applied to improve the accuracy of the system.
Article
Environmental Sciences
Martin Drews, Max Steinhausen, Morten Andreas Dahl Larsen, Mads Lykke Domgaard, Levente Huszti, Tibor Racz, Michel Wortmann, Fred Fokko Hattermann, Kai Schroeter
Summary: Pluvial floods pose an increasing threat to urban environments worldwide due to human-induced climate change. High-resolution pluvial flood models are urgently needed to inform climate change adaptation and risk reduction measures, but are often not empirically tested due to limited local rainfall events and monitoring capabilities. Volunteered Geographic Information (VGI) collected from various sources can be used to monitor pluvial floods during and after extreme rain events, but its reliability is sometimes questioned. In this research, the utility of VGI is explored to evaluate the performance of pluvial flood models and gain insights for improvement. The findings highlight the untapped potential and challenges in using VGI for model evaluation, suggesting that it could become an essential tool to enhance confidence in model-based risk assessments for climate change adaptation and disaster risk reduction.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Geosciences, Multidisciplinary
Heidi Kreibich, Kai Schroeter, Giuliano Di Baldassarre, Anne F. Van Loon, Maurizio Mazzoleni, Guta Wakbulcho Abeshu, Svetlana Agafonova, Amir AghaKouchak, Hafzullah Aksoy, Camila Alvarez-Garreton, Blanca Aznar, Laila Balkhi, Marlies H. Barendrecht, Sylvain Biancamaria, Liduin Bos-Burgering, Chris Bradley, Yus Budiyono, Wouter Buytaert, Lucinda Capewell, Hayley Carlson, Yonca Cavus, Anais Couasnon, Gemma Coxon, Ioannis Daliakopoulos, Marleen C. de Ruiter, Claire Delus, Mathilde Erfurt, Giuseppe Esposito, Didier Francois, Frederic Frappart, Jim Freer, Natalia Frolova, Animesh K. Gain, Manolis Grillakis, Jordi Oriol Grima, Diego A. Guzman, Laurie S. Huning, Monica Ionita, Maxim Kharlamov, Dao Nguyen Khoi, Natalie Kieboom, Maria Kireeva, Aristeidis Koutroulis, Waldo Lavado-Casimiro, Hong-Yi Li, Maria Carmen LLasat, David Macdonald, Johanna Mard, Hannah Mathew-Richards, Andrew McKenzie, Alfonso Mejia, Eduardo Mario Mendiondo, Marjolein Mens, Shifteh Mobini, Guilherme Samprogna Mohor, Viorica Nagavciuc, Thanh Ngo-Duc, Huynh Thi Thao Nguyen, Pham Thi Thao Nhi, Olga Petrucci, Nguyen Hong Quan, Pere Quintana-Segui, Saman Razavi, Elena Ridolfi, Jannik Riegel, Md Shibly Sadik, Nivedita Sairam, Elisa Savelli, Alexey Sazonov, Sanjib Sharma, Johanna Soerensen, Felipe Augusto Arguello Souza, Kerstin Stahl, Max Steinhausen, Michael Stoelzle, Wiwiana Szalinska, Qiuhong Tang, Fuqiang Tian, Tamara Tokarczyk, Carolina Tovar, Thi Van Thu Tran, Marjolein H. J. van Huijgevoort, Michelle T. H. van Vliet, Sergiy Vorogushyn, Thorsten Wagener, Yueling Wang, Doris E. Wendt, Elliot Wickham, Long Yang, Mauricio Zambrano-Bigiarini, Philip J. Ward
Summary: As the impacts of hydrological extremes increase, understanding the drivers of changes in risk and impacts is crucial for effective flood and drought risk management. However, there is currently a lack of comprehensive data on the processes and interactions leading to flood and drought impacts. This benchmark dataset provides unique socio-hydrological data on paired flood and drought events, covering a wide range of conditions. It enables comparative analyses and context-specific assessments, and can be used for exploring causal links and developing socio-hydrological models.
EARTH SYSTEM SCIENCE DATA
(2023)
Article
Environmental Sciences
Erika R. Melendez-Landaverde, Daniel Sempere-Torres
Summary: This research presents the first online user experience evaluation of the A4alerts app in the context of flood emergencies. The evaluation results indicate that participants considered the app to be a useful communication tool, particularly for accessing local flood warnings, regional official warnings, and self-protection action checklists.
JOURNAL OF FLOOD RISK MANAGEMENT
(2023)
Article
Geosciences, Multidisciplinary
Animesh K. Gain, Yves Buehler, Pascal Haegeli, Daniela Molinari, Mario Parise, David J. Peres, Joaquim G. Pinto, Kai Schroeter, Ricardo M. Trigo, Maria Carmen Llasat, Heidi Kreibich
Summary: NHESS, an interdisciplinary and international journal dedicated to discussing and publishing high-quality research on natural hazards and their consequences, is celebrating its 20th anniversary by highlighting 11 key publications from the past two decades. These selected articles cover major subject areas of natural hazards and risks, showcasing the journal's strength in representing interdisciplinary fields.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2022)
Article
Geosciences, Multidisciplinary
Josias Lang-Ritter, Marc Berenguer, Francesco Dottori, Milan Kalas, Daniel Sempere-Torres
Summary: This paper proposes the integration of different flood type-specific approaches into one compound flood impact forecast, using a unified system that combines the simulations of two impact forecasting methods. In the testing, this integrated approach accurately identified the extent and impacts of compound floods, demonstrating its potential for improving decision support services.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2022)
Article
Geosciences, Multidisciplinary
Marco Cerri, Max Steinhausen, Heidi Kreibich, Kai Schroeter
Summary: Flood risk modelling aims to quantify flooding probability and consequences, with multi-variable approaches better suited for complex processes. OpenStreetMap data show potential for modelling flood vulnerability of residential buildings, improving model prediction performance across regions.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2021)
Article
Meteorology & Atmospheric Sciences
Vittal Hari, Oldrich Rakovec, Wei Zhang, Akash Koppa, Matthew Collins, Rohini Kumar
Summary: This study reveals a significant association between the Atlantic Meridional Mode (AMM) and temperature variability in the eastern European region. Positive AMM phase leads to a significant increase in temperature, while negative phase has the opposite effect. The AMM modulates the temperature through planetary-scale Rossby waves and anomalous anticyclone circulation.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Fang Cao, Yi-Xuan Zhang, Yan-Lin Zhang, Wen-Huai Song, Yu-Xian Zhang, Yu-Chi Lin, Chaman Gul, Md. Mozammel Haque
Summary: This study investigates the influences of continental emissions on marine aerosols in the Yellow Sea and Bohai Sea of China. The results show that biomass burning is the major contributor to organic aerosols in these marine atmospheres.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Chenxi Liao, Wenhua Gao, Lanzhi Tang, Chengyin Li
Summary: Based on ERA5 data, this study analyzed the characteristics of four hydrometeors and their relationship with precipitation intensity in central eastern China and the northwest Pacific Ocean. The results show that stratiform precipitation is dominated by ice processes, while convective precipitation has comparable contributions from water and ice processes.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Hsiang-Yu Huang, Sheng-Hsiang Wang, William K. M. Lau, Shih-Yu Simon Wang, Arlindo M. da Silva
Summary: This study presents a diagnostic analysis of the interannual variation of regional climate and its impact on biomass burning aerosol emissions in peninsular Southeast Asia (PSEA). It identifies four climatic factors governing the emission and transport of PSEA biomass burning aerosols and reveals a significant correlation with the El Nin similar to o-Southern Oscillation (ENSO). The results contribute to a better understanding and improved model simulations of aerosol-climate interactions in South and Southeast Asian monsoon regions.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Deniz H. Diren-Ustuen, Yurdanur S. Unal, Simge Irem Bilgen, Cemre Yuruk Sonuc, Sahar Sodoudi, Caner Guney, Ahmet Ozgur Dogru, Selahattin Incecik
Summary: This is the first comprehensive study to examine how urbanization affects the microclimate of Istanbul using the urban climate model MUKLIMO_3. The findings suggest that changing the albedo of roofs and implementing green-roofs can significantly reduce air temperatures in urban areas.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Yetong Li, Yan Xia, Fei Xie, Yingying Yan
Summary: Surface ozone, a major air pollutant, is influenced by stratosphere-troposphere exchange (STE) which contributes to both the decrease and increase of surface ozone in the Southern and Northern Hemispheres, respectively. Additionally, global warming is expected to worsen surface ozone pollution in the future.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Na Li, Ping Zhao, Changyan Zhou
Summary: In this study, the daily sensible and latent heat fluxes in the Tibetan Plateau are estimated using the maximum entropy production model. The results show good performance of the model and reveal the spatial distribution and trends of surface heat fluxes in the region.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Wenqing Lin, Huopo Chen, Weiqi Wang, Dawei Zhang, Fan Wang, Wuxia Bi
Summary: It is found in this study that anthropogenic activities may significantly contribute to the decrease in snowfall days, light snowfall, and light snowfall days across Eurasia, with greenhouse gas emissions being the main driver. However, detection of human influence is challenging for intense snowfall.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Chongxun Mo, Xingbi Lei, Xixi Mo, Ruli Ruan, Gang Tang, Lingguang Li, Guikai Sun, Changhao Jiang
Summary: Reliable precipitation information is crucial for scientific and operational applications. Open-access gridded precipitation products (OGPPs) are important sources due to their continuous spatiotemporal coverage. This study proposes a methodology to comprehensively compare the accuracies and stabilities of ten different OGPPs, particularly in mountainous basins. The results show high accuracy but unstable performance of all OGPPs, with multi-source fusion-type products offering better stability and accuracy. Multi-source weighted-ensemble precipitation and climate prediction center morphing method products exhibit the best comprehensive performance.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Jingzhuo Wang, Hanbin Zhang, Jing Chen, Guo Deng, Yu Xia
Summary: In this study, a new scale-blending technique was proposed to evaluate the impact of multiscale initial perturbations on the CMA-CPEPS. The results showed that the blended scheme improved the dispersion of dynamical variables and increased the ensemble spread of precipitation, leading to reduced forecast error.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Ziyi Song, Botao Zhou, Xinping Xu, Zhicong Yin
Summary: This study, based on reanalysis data from 1980 to 2019, reveals that the relationship between autumn sea ice concentration in the Barents-Kara Seas (BKSIC) and subsequent winter North Atlantic Oscillation (NAO) underwent an interdecadal weakening in the early 1990s. The weakening can be attributed to the decrease in the interannual variability of BKSIC, which leads to a discrepancy in the tropospheric warming. In the former period (1980-1993), the decrease in autumn BKSIC enhances tropospheric warming and weakens the circumpolar westerly, resulting in a negative NAO phase. However, in the latter period (1994-2019), the smaller interannual variability of BKSIC weakens its influence on the tropospheric temperature, diluting the relationship with the subsequent winter NAO.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Wogu Zhong, Zhiwei Wu
Summary: Significant phase shifts in winter surface air temperature (SAT) anomalies have occurred in East Asia in recent years, leading to detrimental effects on socio-economic activities. In this study, the fourth principal mode of month-to-month SAT variations over EA in winter was identified, representing subseasonal SAT reversals over the mid-high latitudes of EA during late winter. The formation of this mode is accompanied by stratospheric temperature anomalies over eastern Siberia-Alaska in January.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Weiqian Ji, Leiku Yang, Xinyao Tian, Muhammad Bilal, Xin Pei, Yu Zheng, Xiaofeng Lu, Xiaoqian Cheng
Summary: This study systematically evaluated the AOD products of the DB and MAIAC algorithms based on MODIS over bright surfaces, and investigated the underestimation of AOD affected by various factors. The results indicated that the MAIAC products performed better than DB, and the C6.1 MAIAC showed slight improvement compared to C6.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Tao Wang, Xiaohua Gou, Xuejia Wang, Hongwen Liu, Fei Xie
Summary: This study finds that the meridional position of subtropical jet anomalies has shifted equatorward in both the Northern Hemisphere and Southern Hemisphere since the 1960s due to the influence of ENSO. The changes in tropical SST anomalies associated with ENSO contribute to this equatorward shift.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Alireza Ghaderi Bafti, Arman Ahmadi, Ali Abbasi, Hamid Kamangir, Sadegh Jamali, Hossein Hashemi
Summary: Actual evapotranspiration (ETa) plays a crucial role in the water and energy cycles of the earth. This study develops an automated deep learning model for accurate estimation of ETa using image processing, architectural design, and hyper-parameter tuning. The proposed model shows promising results in different climatic regions, highlighting its potential for enhanced atmospheric research.
ATMOSPHERIC RESEARCH
(2024)