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
Environmental Sciences
Ningkun Ma, Yichen Chen, Zuo Jia, Liping Liu, Xincheng Ma, Yu Huang
Summary: Raindrop size distribution (DSD) is an important microphysical characteristic of clouds and precipitations. The vertical evolution of DSD provides insights into the microphysical mechanisms and dynamic processes involved in clouds and precipitations. By analyzing the data from two typical stratiform rain cases, it was found that the DSD was wider just below the 0 degrees C level, forming a bulge shape in the vertical direction. This bulge phenomenon was accompanied by higher cloud tops, stronger reflectivity, and larger falling velocity. It was inferred that ice particles intermittently formed near the cloud tops and fell through the underlying cloud, causing the instability of particle aggregation and leading to the rain variation mechanism.
Article
Environmental Sciences
Sergey Y. Matrosov
Summary: The statistical relationships between Z(DR) and Z(e) can effectively distinguish between warm rain and stratiform rain, with warm rain having smaller Z(DR) values on average but still following a relative trend due to an abundance of smaller drops. Applying the Z(DR)-Z(e) relation can correctly classify different types of precipitation, with warm rain requiring separate identification for more accurate precipitation estimations.
Article
Engineering, Aerospace
Pallabi Saha, Gargi Rakshit, Animesh Maitra
Summary: The present study examines the variation in height and width of the melting layer (ML) in relation to atmospheric parameters over Kolkata, India. The ML height is influenced by near-surface temperature, zero-degree isotherm height, and atmospheric instability. Cloud liquid water content (CLWC) controls the melting layer width. The study also investigates the diurnal and seasonal variations of ML height and width, as well as the long-term changes in ML height, zero-degree isotherm altitude, and atmospheric instability.
ADVANCES IN SPACE RESEARCH
(2023)
Article
Environmental Sciences
Merhala Thurai, Viswanathan Bringi, David Wolff, David Marks, Charanjit Pabla
Summary: This study investigated the classification of convective and stratiform rain using data from a mid-latitude coastal region, finding that there was no need to modify the separation criteria from previous studies. An improved technique was applied to radar data to successfully identify convective and stratiform rain regions.
Article
Meteorology & Atmospheric Sciences
Abin Thomas, Vijay P. Kanawade, Kaustav Chakravarty, Atul K. Srivastava
Summary: This study characterized raindrop size distribution (DSD) and its response to cloud microphysical properties during the Indian Summer Monsoon season. Different rain regimes showed distinct responses in DSD, which could help in the short-term prediction of extreme rainfall events.
ATMOSPHERIC RESEARCH
(2021)
Article
Environmental Sciences
Lionel Benoit
Summary: Remotely sensed radar data and in situ rain gauge observations provide complementary information about rainfall, and fusing these data sources can lead to more accurate and comprehensive rain estimates. By combining radar data and rain gauge observations at a high space-time resolution, it is possible to achieve detailed precipitation analysis, even in remote areas where in-situ observation is not feasible.
WATER RESOURCES RESEARCH
(2021)
Article
Geochemistry & Geophysics
Simon Zwieback, Franz J. Meyer
Summary: This article introduces three improvements to mitigate the bias in deformation estimation from radar interferometric stacks. The improvements successfully reduce the underestimation problem in error estimates, as demonstrated through simulations and observations.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Daniel A. Segovia-Cardozo, Leonor Rodriguez-Sinobas, Andres Diez-Herrero, Sergio Zubelzu, Freddy Canales-Ide
Summary: This study aims to understand the errors of Tipping bucket rain gauges by analyzing water behavior and its effects on the TBR mechanism. Two efficient calibration methods have been proposed to reduce data errors by more than 50%.
Article
Engineering, Aerospace
Jiangjun Ran, Natthachet Tangdamrongsub, Xiaoyun Wan
Summary: This study analyzes the impact of four different error variance-covariance matrix structures on mass transport estimates in Greenland based on monthly GRACE solutions, finding that the diagonal structure obtains the best estimates for recovering the long-term trend. The study also highlights the importance of considering mascon model deficiencies and the release of block diagonal structures for the GRACE Follow-On mission.
ADVANCES IN SPACE RESEARCH
(2021)
Article
Environmental Sciences
Gabriela Urgiles, Rolando Celleri, Katja Trachte, Joerg Bendix, Johanna Orellana-Alvear
Summary: This study analyzed rainfall-event types in the Tropical Andes region using a data-driven clustering approach, revealing two main rainfall types (convective and stratiform) with a mixed type as a subgroup of the stratiform type. Stratiform rainfall was more frequent throughout the year, while short-duration rainfall events (less than 70 min) were prevalent in the study area.
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
Water Resources
Ganesh R. Ghimire, Witold F. Krajewski, Tibebu B. Ayalew, Radoslaw Goska
Summary: This study investigates the characteristics of radar-rainfall estimates that are most important for accurate streamflow predictions. The researchers find that the spatial and temporal resolution of rainfall has a significant impact, especially for smaller basins. Additionally, they discover that the basin-wide rainfall volume has the most significant effect on streamflow prediction.
ADVANCES IN WATER RESOURCES
(2022)
Article
Engineering, Civil
Shang Gao, Jiaqi Zhang, Dongfeng Li, Han Jiang, Zheng N. Fang
Summary: This study used rainfall data from Hurricane Harvey to evaluate radar errors and assess the performance of two QPE products. The results showed that both products overestimate and underestimate total rainfall by a small factor, with a tendency to overestimate very light precipitation. The study also suggests describing the spatial correlation of radar error as powered exponential functions of interpixel distance.
NATURAL HAZARDS REVIEW
(2021)
Article
Environmental Sciences
Kyuhee Shin, Joon Jin Song, Wonbae Bang, GyuWon Lee
Summary: The study investigated the potential application of machine learning algorithms in radar rainfall estimation, with the random forest model performing well in variable importance testing. After applying the model to S-band dual-polarization radar data, the results showed that the spatial error structure was effectively captured and adjusted, leading to excellent agreement with ground rain gauge measurements.
Article
Engineering, Civil
Claudia Abanco, Marcel Hurlimann, Jose Moya, Marc Berenguer
JOURNAL OF HYDROLOGY
(2016)
Article
Meteorology & Atmospheric Sciences
Aitor Atencia, Isztar Zawadzki, Marc Berenguer
JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY
(2017)
Article
Meteorology & Atmospheric Sciences
K. Lengfeld, M. Berenguer, D. Sempere Torres
ATMOSPHERIC RESEARCH
(2018)
Article
Engineering, Civil
Shinju Park, Marc Berenguer, Daniel Sempere-Torres
JOURNAL OF HYDROLOGY
(2019)
Article
Engineering, Civil
Caries Corral, Marc Berenguer, Daniel Sempere-Torres, Laura Poletti, Francesco Silvestro, Nicola Rebora
JOURNAL OF HYDROLOGY
(2019)
Article
Meteorology & Atmospheric Sciences
Tomeu Rigo, Marc Berenguer, Maria del Carmen Llasat
ATMOSPHERIC RESEARCH
(2019)
Article
Environmental Sciences
Danny Heuvelink, Marc Berenguer, Claudia C. Brauer, Remko Uijlenhoet
ENVIRONMENT INTERNATIONAL
(2020)
Article
Environmental Sciences
Josias Ritter, Marc Berenguer, Carles Corral, Shinju Park, Daniel Sempere-Torres
ENVIRONMENT INTERNATIONAL
(2020)
Article
Engineering, Geological
Rosa M. Palau, Marcel Hurlimann, Marc Berenguer, Daniel Sempere-Torres
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, Civil
Josias Ritter, Marc Berenguer, Shinju Park, Daniel Sempere-Torres
Summary: This paper presents a simple approach for estimating flash flood impacts at pan-European scale in real time, which has shown the capability to identify impacts over large spatial scales and locate the areas and municipalities where the most important impacts occurred. The performance is sensitive to the quality of rainfall estimates and the comprehensiveness of employed flood maps.
JOURNAL OF HYDROLOGY
(2021)
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
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
Water Resources
J. P. Martin-Vide, A. Bateman, M. Berenguer, C. Ferrer-Boix, A. Amengual, M. Campillo, C. Corral, M. C. Llasat, M. Llasat-Botija, S. Gomez-Duenas, B. Marin-Esteve, F. Nunez-Gonzalez, A. Prats-Punti, R. Ruiz-Carulla, R. Sosa-Perez
Summary: This study aims to reconstruct the October 2019 flash flood in the Francoli River in Catalonia, Iberian Peninsula. Extensive field work was conducted to collect data on rainfall, flood marks, flood passage times, witnesses' snapshots and reports, channel changes, log drift, woody debris, and damage. The study used hydrological models, hydraulic principles, and numerical models to gain new insights into the flood event.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2023)
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)
