Article
Environmental Sciences
Maryam Roostaee, Zhiqiang Deng
Summary: This study investigates how DEMs from three different sources affect model-simulated flow, nitrate, phosphorus, and sediment. It is found that the uncertainties in simulation results induced by different DEM sources are higher than those induced by DEM resolution, regardless of watershed slope or delineation method. DEM source introduces higher uncertainties in simulation results for low-gradient watersheds than high-gradient watersheds. Sediment and NO3 concentrations are the most and the least sensitive water quality parameters to DEM sources, respectively. The use of high precision DEMs is recommended, especially for flat watersheds.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Geosciences, Multidisciplinary
Yiming Chang, Huimin Lei, Feng Zhou, Dawen Yang
Summary: Understanding the spatial and temporal variations in rainfall erosivity is crucial for estimating soil erosion variability. In this study, hourly rainfall data was used to calculate rainfall erosivity in the middle Yellow River Basin. The results showed that rainfall erosivity calculated based on hourly data had larger variability compared to daily data. The spatial distribution of rainfall erosivity was found to be highly heterogeneous, with distinct patterns influenced by rainfall amount and intensity. The long-term changes in rainfall erosivity showed different trends compared to annual rainfall amount. The study emphasizes the importance of considering changing rainfall intensity at a subdaily scale in semiarid and semihumid climate zones.
Article
Engineering, Civil
Corey D. Harper, Sean Qian, Constantine Samaras
Summary: This study incorporates high-resolution rainfall data into transportation models and finds that high-resolution rainfall features are better predictors of future rainfall on target segments in many cases, leading to overall better prediction results compared to using a single city-wide rain gauge. This has implications for improving travel speed prediction modeling and traffic modeling in other cities under increasing impacts from climate change and extreme weather.
JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS
(2021)
Article
Soil Science
Jian Luo, Zicheng Zheng, Shuqin He, Wenfeng Ding
Summary: This study aimed to assess runoff and sediment dynamics under different microtopographic patterns using wavelet analysis and SIMulated Water Erosion model (SIMWE). The results showed that the reduction benefits of different tilled slopes in runoff and sediment decreased with an increase in slope and rainfall intensity. Rill erosion was the main source of soil erosion on different tilled slopes. The feasibility of the SIMWE model in simulating runoff and sediment dynamics on microtopographic scale under a single rainfall event was verified.
Article
Environmental Sciences
Yueli Chen, Xingwu Duan, Guo Zhang, Minghu Ding, Shaojuan Lu
Summary: This study used weather station data to estimate rainfall erosivity in the Tibetan Plateau and identified spatial-temporal patterns of rainfall erosivity. The results showed that the annual erosive rainfall accounted for 53% of the total rainfall, with an average of 14 erosive events per weather station per year. The study also found that erosive events in the wet season were more likely to extend past midnight. Additionally, the study revealed significant spatial variability in rainfall erosivity, with the highest values in forest zones.
INTERNATIONAL SOIL AND WATER CONSERVATION RESEARCH
(2022)
Article
Engineering, Civil
Afshin Jahanshahi, Lieke A. Melsen, Sopan D. Patil, Erfan Goharian
Summary: The study found that transferring parameters using the temporal mode yields the best results in simulating streamflow in ungauged catchments, with model performance in arid regions being inferior to humid regions. Parameter uncertainties are associated with all parameters, with model transferability being controlled by aridity and catchment elevation.
JOURNAL OF HYDROLOGY
(2021)
Article
Meteorology & Atmospheric Sciences
R. L. Wilby, C. W. Dawson, D. Yu, Z. Herring, A. Baruch, M. J. Ascott, D. L. Finney, D. M. J. Macdonald, J. H. Marsham, T. Matthews, C. Murphy
Summary: Global efforts to improve water, drainage, and sanitation services face challenges due to lack of hydrometeorological data and uncertainty about climate change. This paper presents a novel procedure for downscaled heavy rainfall simulation using media reports and introduces a three-step workflow to spatially and temporally scale rainfall data. The methods are applied to two cities in East Africa and demonstrate the reliability of scaling Gumbel parameters to different durations.
Article
Engineering, Civil
Pardis Ziaee, Mohammad Javad Abedini
Summary: This study investigates the influence of rainfall variability in time and space, as well as the location of storm center, on catchment outflow hydrograph. The findings demonstrate that the storm center location has a significant impact on the characteristics of the outflow hydrograph, with closer proximity to the outlet resulting in increased peak magnitude and decreased time to peak. The spatiotemporal resolution of the monitoring network also affects the hydrograph characteristics, particularly the peak magnitude, with lower resolutions leading to underestimation of peak and overestimation of time to peak.
WATER RESOURCES MANAGEMENT
(2023)
Article
Geosciences, Multidisciplinary
Juergen Fuchsberger, Gottfried Kirchengast, Thomas Kabas
Summary: This paper presents the latest reprocessed data record (version 7.1) from the WegenerNet climate station networks covering the period from 2007 to 2020, focusing on two regions in southeastern Austria. It provides detailed information on station characteristics, data processing, practical applications, and recent advancements towards climate change research, showcasing the high-quality hydrometeorological data collected by the networks for scientific uses.
EARTH SYSTEM SCIENCE DATA
(2021)
Article
Geosciences, Multidisciplinary
Vincent Pons, Rasmus Benestad, Edvard Sivertsen, Tone Merete Muthanna, Jean-Luc Bertrand-Krajewski
Summary: This study proposes a strategy to evaluate the suitability of different multiplicative random cascades in producing rainfall time series considering climate change for green infrastructure models. The improved models, incorporating temperature dependency and reproducing rainfall temporal structure, were found to be applicable in multiple locations across Norway and France. Although the different models led to slight changes in the performance of green roofs, the impact was not significant compared to the uncertainties in climate modeling and stochastic nature of the process. The hydrological dampening effect of green infrastructure decreased in most Norwegian cities due to increased precipitation, while slightly increasing in Marseille due to a decrease in rainfall event frequency.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2022)
Article
Multidisciplinary Sciences
Li Lin, Liping Di, Chen Zhang, Liying Guo, Yahui Di, Hui Li, Anna Yang
Summary: This study aims to improve the accuracy of crop classification in the Cropland Data Layer (CDL) developed by the U.S. Department of Agriculture (USDA) by using a decision tree method and validating the refined data with high-resolution satellite images. The research data generated from this study has been made available for free download through two online repositories.
Article
Engineering, Environmental
Nanda R. Aryal, Owen D. Jones
Summary: In this study, stochastic spatial-temporal models are fitted to high-resolution rainfall radar data using Approximate Bayesian Computation (ABC). The models are constructed from cluster point-processes, and the Simulated Method of Moments (SMM) is introduced to initialize the ABC fit. The use of ABC is crucial for fitting models of this complexity.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2021)
Article
Environmental Sciences
Nejc Bezak, Saso Petan, Matjaz Mikos
Summary: Rainfall erosivity is a crucial factor influencing soil erosion rates and shows significant spatiotemporal variability. Experimental findings indicate that rainfall intensity is more strongly correlated with mean annual precipitation than elevation. Further research is needed to better understand the spatiotemporal variability of rainfall erosivity under Alpine climate conditions in Slovenia.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2021)
Article
Engineering, Geological
M. Bordoni, V. Vivaldi, L. Lucchelli, L. Ciabatta, L. Brocca, J. P. Galve, C. Meisina
Summary: The developed combined method accurately predicts the spatial and temporal probability of rainfall-induced shallow landslides, with excellent performance during rainfall events. It is able to forecast both the probability of occurrence and the timing of shallow landslides, utilizing satellite-based rainfall products and field rain gauge data.
Article
Multidisciplinary Sciences
Donglai Jiao, Nannan Xu, Fan Yang, Ke Xu
Summary: ERA5 is the latest fifth-generation reanalysis global atmosphere dataset from the European Centre for Medium-Range Weather Forecasts, replacing ERA-Interim as the next generation of representative satellite-observational data on the global scale. ERA5 data have been evaluated and applied in different regions, but the performances are inconsistent. This study evaluates the temporal-spatial performance of ERA5 precipitation data from 1979 to 2018 based on gridded-ground meteorological station observational data across China, showing that ERA5 captures the patterns of observed precipitation well but slightly overestimates precipitation in the summer, with accuracy varying across different regions in China.
SCIENTIFIC REPORTS
(2021)
