Climate change and ENSO enhances seasonal flood
We investigated the impact of climate change and ENSO on flood occurrence in the Ganges-Brahmaputra-Meghna basin, using a large ensemble climate simulation database and a catchment-based macro-scale floodplain model, finding that climate change increases the occurrence probability of 10-year return period maximum discharge in the pre-monsoon and post-monsoon seasons. Access the full text here.
CaMa-Flood benchmark framework
We introduced a novel benchmark system to assess and compare the performance of global flood models by integrating in-situ river discharge observations and remote sensing data, enabling the evaluation of model performance in areas with limited ground observations. Read it here.
Menaka presented in AGU@Washington D.C.
Menaka Revel spoke at AGU’s H33V session on Remote Sensing of Rivers, Lakes, Reservoirs, and Wetlands, where he presented on the use of satellite data to improve the accuracy of hydrological models, with a particular emphasis on capturing lake dynamics and surface water behavior. See the abstract here.
Menaka’s poster at AGU, Washington D.C.
Menaka Revel presented a poster titled Integrating SWOT Observations into CaMa-Flood: A Data Assimilation Framework for Enhancing Surface Water Dynamics Estimation at AGU 2024, during the session H31Z – The Surface Water and Ocean Topography (SWOT) Mission: New Frontiers in Hydrology V (Poster). Read more.
Menaka presented in CGU@Ottawa
Menaka Revel presented about calibrating lake-dominated watershed model using Landsat imagery in CGU, Carleton University, Ottawa. Abstract.
Our paper on the AltiMaP method for mapping satellite altimetry onto river models is now published in Earth System Science Data. Read it here.
We published a new dataset covering 3254 Chinese reservoirs with hydroclimatic time series and catchment features published in Earth System Science Data. Explore the data.
Amazon floodplain study published
Our study found a 23% increase in annual maximum floods in the Amazon since 1980. A co-authored paper was published in Remote Sensing of Environment, How much inundation occurs in the Amazon River basin?, led by Ayan Santos Fleischmann. This study compares 29 inundation datasets from remote sensing/hydrological modeling. The intercomparison can be viewed in WebGIS application. Read the paper.
Satellite altimetry assimilation methods
We explored different methods to assimilate satellite altimetry for improving river discharge estimates at continental scale. Check out the study in HESS.
Model evaluation method published
We proposed a new framework to evaluate hydrodynamic models using multivariable integration. Read the WRR paper.
This paper compares 29 flood extent datasets in the Amazon using satellite observations and modeling. Explore the WebGIS tool or read the article.
River bathymetry correction method
We introduced a method to correct riverbed profiles using stage-discharge rating curves and satellite/in-situ data. View the paper.
Global discharge estimation framework
We developed a global framework for estimating river discharge by assimilating satellite altimetry. Read more in WRR.
Joined UTokyo as Project Researcher
Started working at the Institute of Industrial Science, The University of Tokyo, focusing on satellite hydrology. Visit the institute.
Graduated with a Ph.D. in hydrology and satellite data assimilation from Tokyo Institute of Technology. University site.
SWOT assimilation in Congo Basin
We developed a localization method for assimilating SWOT altimetry data into large-scale river models. Read the Water journal paper.