Abstract After the launch of Global Precipitation Measurement (GPM) mission in 2014, many satellite precipitation products (SPPs) are available at finer spatiotemporal resolution and/or with reduced latency, potentially increasing applicability SPPs for near-real-time (NRT) applications. Therefore, there is a need to evaluate NRT GPM era and investigate whether bias-correction techniques or merging individual can increase accuracy these This study utilizes five commonly used SPPs, namely,...

Flood management is an important topic worldwide. Precipitation the most crucial factor in reducing flood-related risks and damages. However, its adequate quality sufficient quantity are not met many parts of world. Currently, near real-time satellite precipitation products (NRT SPPs) have great potential to supplement gauge rainfall. NRT SPPs several biases that require corrections before application. As a result, this study investigated two statistical bias correction methods with...

The frequent occurrence of floods puts additional pressure on people to change their activities and alter land use practices, consequently making exposed lands more vulnerable floods. It is thus crucial investigate dynamic changes in flood exposures conduct quantitative evaluations risk-reduction strategies minimize damage items. This study quantitatively assessed dynamics exposure risk, evaluated the effectiveness control measures Bengawan Solo River basin, Indonesia. Water Energy...

We present a field-verified algorithm for retrieving vegetation water content (VWC), which is the mass of in tissue per ground area, using observed microwave brightness temperatures (TBs). can use 6.925and 10.65-GHz observations to minimize species dependence relationship between optical depth (VOD) and VWC. Then, we easily estimate VWC after obtaining VOD. Although VOD retrieved at these frequencies highly affected by uncertainties surface roughness, found that effects bias roughness...

All human endeavours are affected by climate change and local weather, 21st-century climate-change estimates will provide greater challenges. Therefore, numerical model-based projections (i.e., General Circulation Models – GCMs) essential for making decisions about adaptation, mitigation, resilience building to combat adverse impacts. However, these coarser resolution model have uncertainties resulting in significant doubts decision-making, particularly the or regional domain. Thus, we...

The Sangu River basin significantly contributes to national economy significantly; however, exposures water-related hazards are frequent. As it is expected that disasters will increase manifold in the future due global warming, Government of Bangladesh has formulated Delta Plan 2100 (BDP-2100) enhanced climate resilience. Accordingly, this study assessed hydro-meteorological characteristics under changing climate. This scientifically selected five General Circulation Models (GCMs) include...

Flood vulnerability is estimated by Damage Functions (FDFs), which are crucial for integrated flood risk assessment developing sustainable management, mitigation, and adaptation strategies under global change. However, the FDFs, either empirical or synthetic, not available in Bangladesh. Therefore, this paper focused on synthetic type of FDFs agriculture rural households through data a well–structured questionnaire survey conducted two pilot sub–districts northeastern Bangladesh Meghna River...

Soil moisture is the central focus of land surface and atmospheric modeling because it controls water energy fluxes consequently affects land-atmosphere interactions. Although global or regional satellite-derived soil data sets are readily available, knowledge about assimilating them into numerical weather prediction (NWP) models limited. The methods products in NWP have several limitations, they cannot be applied near-real-time applications. As a result, this paper focuses on development...

The Meghna River basin is a transboundary that lies in Bangladesh (~40%) and India (~60%). Due to its terrain structure, the portion of experiences frequent floods cause severe human economic losses. Bangladesh, as downstream nation basin, faces challenges receiving hydro-meteorological water use data from for effective resource management. To address such issue, satellite rainfall products are recognized an alternative. However, they affected by biases and, thus, must be calibrated verified...

Developing a quantitative flood damage estimation method is important to plan and implement effective adaptation preventive measures for reducing residential areas. We thus developed assessment by integrating hydrologic-hydraulic simulation model outputs capable of considering house characteristics, conducted the houses household contents, including effectiveness analysis reduction use existing dams control elevating plinth level houses. also average curves as function depth types using...

Having an additional tool for swiftly determining the extent of flood damage to crops with confidence is beneficial. This study focuses on estimating rice crop caused by flooding in Candaba, Pampanga, using open-source satellite data. By analyzing correlation between Normalized Difference Vegetation Index (NDVI) measurements from unmanned aerial vehicles (UAVs) and Sentinel-2 (S2) data, a cost-effective time-efficient alternative agricultural monitoring explored. comprises two stages:...

Heavy rainfall due to tropical cyclones (TCs) in the North Indian Ocean (NIO) adversely impacts nations frequently. Though extensive research has focused on TCs NIO, less attention been given connection between and extreme events Sri Lanka. This study examined atmospheric characteristics during sixteen events, focusing linkages TCs, Dipole (IOD), mechanisms behind heavy associated with over The results showed that pre-monsoon period, move northward high water vapor (WV) content accumulated...

Abstract. Inadequacy of spatio-temporal hydro-climatic data limits the efficacy hazard monitoring and disaster risk reduction activities in disaster-prone areas. Various satellite missions are recently providing climate data, but prior evaluation enhancement these necessary for a reliable application. In this study, we conducted performance three real-time precipitation products (SPPs) (GSMaP, GPM-IMERG, PERSIANN) flood modeling Blue Nile basin. The bias correction improved original SPPs,...

Using data archived in the Coordinated Enhanced Observing Period (CEOP) project, this study presents an initial evaluation of prediction skill five General Circulation Models (GCMs) and three Land Surface (LSMs). Comparisons between observations GCMs show that all models are able to produce afternoon peak precipitation, but other major features not well produced, including total amount onset time peak, early-evening low (around 1800 LST), partition convective stratiform rainfall. The ratios...

An assessment of climate impacts in the hydrologic system Blue Nile basin is useful for enhancing water management planning and basin-wide policymaking. Climate change adaptation activities predominantly require an understanding range on resource. In this study, we assessed River using 30-year situ data (1981–2010) five bias-corrected General Circulation Models (GCMs) future (2026–2045) projections RCP8.5. Both historical GCM precipitation show inter-annual spatial variability, with most...

Land surface heterogeneities are important for accurate estimation of land–atmosphere interactions and their feedbacks on water energy budgets. To physically introduce existing land into a mesoscale model, data assimilation system was coupled with model (LDAS-A) to assimilate low-frequency satellite microwave observations soil moisture the combined applied in Tibetan Plateau. Though assimilated distribution showed high correlation Advanced Microwave Scanning Radiometer Earth Observing System...

Climate change is increasingly sensed by nations vulnerable to water-related disasters, and governments are acting mitigate disasters achieve sustainable development. Uncertainties in General Circulation Models’ (GCM) rainfall projections seamless long-term hydrological simulations incorporating warming effects major scientific challenges assessing climate impacts at the basin scale. Therefore, Data Integration Analysis System (DIAS) of Japan Water Energy Budget-based...