Article
Environmental Sciences
Xiaohu Zhao, Guohe Huang, Yongping Li, Qianguo Lin, Junliang Jin, Chen Lu, Junhong Guo
Summary: Future changes in meteorological droughts in Henan Province, China show increased duration and intensity while decreased frequency. This study also finds differences in drought changes among different emission scenarios, with the SSP2-4.5 scenario showing lower magnitudes of changes in duration and intensity relative to other scenarios.
JOURNAL OF CONTAMINANT HYDROLOGY
(2021)
Article
Meteorology & Atmospheric Sciences
Rongsheng Jiang, Lei Sun, Chao Sun, Xin-Zhong Liang
Summary: The CWRF downscaling improved the CCSM4 in capturing observed precipitation characteristics and reduced model structural uncertainties for future projections, highlighting the reliability of regional precipitation changes.
Article
Environmental Sciences
Nidhi Nishant, Sanaa Hobeichi, Steven Sherwood, Gab Abramowitz, Yawen Shao, Craig Bishop, Andy Pitman
Summary: In this study, a machine learning approach using a multi-layer perceptron (MLP) is implemented to downscale coarse-resolution precipitation. The results show that the MLP outperforms the dynamical downscaling method in capturing rainfall climatology, frequency distribution, and spatiotemporal variability of daily precipitation. When the scale is coarsened, the skill of the MLP decreases slightly but remains comparable to or better than the dynamical downscaling method.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Geosciences, Multidisciplinary
Alexandre Tuel, Nabil El Mocayd, Moulay Driss Hasnaoui, Elfatih A. B. Eltahir
Summary: The High Atlas mountains in Morocco serve as the country's water source, but climate change is projected to cause a decrease in precipitation and an increase in temperature in the region, affecting snowpack and river flow. The research indicates that river discharge is expected to decline significantly in the future, which has important implications for water resources planning and agricultural sustainability in this region.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2022)
Article
Meteorology & Atmospheric Sciences
M. L. Bettolli, S. A. Solman, R. P. Rocha, M. Llopart, J. M. Gutierrez, J. Fernandez, M. E. Olmo, A. Lavin-Gullon, S. C. Chou, D. Carneiro Rodrigues, E. Coppola, R. Balmaceda Huarte, M. Barreiro, J. Blazquez, M. Doyle, M. Feijoo, R. Huth, L. Machado, S. Vianna Cuadra
Summary: This research presents preliminary results of statistical and dynamical simulations within the FPS-SESA framework. The aim is to study multi-scale processes most conducive to extreme precipitation events. Four dynamical and four statistical downscaling models were used in the experiment, showing varying performance in simulating daily precipitation features.
Article
Meteorology & Atmospheric Sciences
Alfonso Hernanz, Juan Andres Garcia-Valero, Marta Dominguez, Petra Ramos-Calzado, Maria A. Pastor-Saavedra, Ernesto Rodriguez-Camino
Summary: The study compared five statistical downscaling methods developed by AEMET and found that all methods performed similarly in capturing the mean values of maximum/minimum temperatures, with the results for maximum temperature appearing more accurate than for minimum temperature. Significant differences were found among the methods in reproducing total precipitation amount, with the Analog method showing better accuracy in capturing intense precipitations and precipitation occurrence.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2022)
Article
Environmental Sciences
J. M. Pflug, M. Hughes, J. D. Lundquist
Summary: Research has shown that errors in modeled snow depth are primarily driven by biases in atmospheric model snowfall. Future research should focus on correcting biases in coarse-scale snowfall estimates, correcting snow deposition patterns for winter snow losses and spatial variability in snow density, and identifying periods of most similar snow accumulation.
WATER RESOURCES RESEARCH
(2021)
Article
Water Resources
Na Zhao, Yimeng Jiao, Lili Zhang
Summary: This study investigates future precipitation variations in the Poyang Lake basin using a scale-based downscaling method. Results show that the basin will become wetter in the next 80 years, with increased precipitation in spring and autumn, and drying trends in some areas during summer and winter.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2022)
Article
Environmental Sciences
E. Moreno-Chamarro, L-P Caron, P. Ortega, S. Loosveldt Tomas, M. J. Roberts
Summary: The use of a higher resolution atmosphere-ocean coupled model can more accurately predict an increase in winter precipitation over northern Europe, with traditional 100 km resolution models potentially underestimating the risk of precipitation increase in winter in Europe.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Na Zhao
Summary: This study developed a downscaling scheme to obtain high-resolution and high-accuracy precipitation estimates in the Heihe watershed. By combining the random forest method with residual correction, improvements were seen in the accuracy of the precipitation downscaling. Enough rain gauge records were also found to be important for tuning model performance and further improving the accuracy of the downscaling process.
Article
Engineering, Civil
Yeditha Pavan Kumar, Rathinasamy Maheswaran, Ankit Agarwal, Bellie Sivakumar
Summary: The study introduces wavelet-based neural network models for downscaling daily precipitation in the Krishna River basin in India. These models, incorporating various climatic variables, demonstrate strong performance in capturing regional precipitation patterns and extreme events compared to traditional and recent downscaling methods. The improvement in the wavelet-based models is attributed to their ability to uncover the hidden relationship between predictors and precipitation, enhancing overall model performance.
JOURNAL OF HYDROLOGY
(2021)
Article
Meteorology & Atmospheric Sciences
Shaukat Ali, Rida S. Kiani, Michelle S. Reboita, Li Dan, Hyung-Il Eum, Jaepil Cho, K. Dairaku, Firdos Khan, Madan L. Shreshta
Summary: This study utilized an ensemble of 14 global climate models to comprehensively assess climate change impacts over Pakistan and identify future hotspots cities. The findings suggest that the northern regions of Pakistan will experience the highest temperature changes, while wetter conditions are expected in the monsoon region. There is a linear positive correlation between air temperature and precipitation, and the study also identifies future changes in hotspot cities.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2021)
Article
Meteorology & Atmospheric Sciences
Shibo Gao, Danlian Huang, Ningzhu Du, Chuanyou Ren, Haiqiu Yu
Summary: Ensemble dynamical downscaling of precipitation over China based on two different cumulus convective parameterization schemes showed superior performance in capturing the characteristics of precipitation patterns and improving the representation of both annual mean and interannual variations. The ensemble also demonstrated the highest skill in representing precipitation anomalies at regional scales for all subregions, as well as capturing the spatial patterns and temporal variations of dominant precipitation variability modes.
ATMOSPHERIC RESEARCH
(2022)
Article
Engineering, Environmental
Azin Al Kajbaf, Michelle Bensi, Kaye L. Brubaker
Summary: Increased greenhouse gas concentration has caused climate warming and changes in precipitation and temperature. Machine learning models can be used to downscale climate model outputs in space and time. This study evaluates multiple machine learning models for temporal downscaling of precipitation time-series to generate statistical analysis data for current and future climate in Maryland.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2022)
Article
Environmental Sciences
Yuzhuo Peng, Anmin Duan, Wenting Hu, Bin Tang, Xinyu Li, Xianyi Yang
Summary: The Tibetan Plateau is an important region for studying global climate change. This study uses statistical downscaling methods to project future winter temperatures in the region. The results show that the strongest winter warming will occur near the Himalayas and densely populated eastern regions. This has implications for the stability of glaciers and the need for early warning and forecasting services. Additionally, the long-term spatial warming varies greatly depending on future emission scenarios, highlighting the urgency of reducing greenhouse gas emissions to mitigate climate vulnerability.
ENVIRONMENTAL RESEARCH LETTERS
(2022)