This study analyzed the causes of flooding in Jakarta area on 18-25 February 2020. Satellite-derived-meteorological parameters were used to elaborate underlying cause. Convective cloud index derived from Himawari-8 satellite and horizontal precipitation distribution Global Satellite Mapping Precipitation (GSMaP) dataset, as product Measurement (GPM) satellite, confirmed heavy rainfall occurred ...

Predicting the quality of water and air is a particular challenge for forecasting systems that support them. In order to represent the small-scale phenomena, a high-resolution model needs accurate capture of air and sea circulations, significant for forecasting environmental pollution. Data assimilation is one of the state of the art methods to be used for this purpose. Due to the importance of...

Predicting the quality of water and air is a particular challenge for forecasting systems that support them. In order to represent the small-scale phenomena, a high-resolution model needs accurate capture of air and sea circulations, significant for forecasting environmental pollution. Data assimilation is one of the state of the art methods to be used for this purpose. Due to the importance of...

Extreme value analysis (EVA) has been extensively used to understand and predict long-term return extreme values. This study provides the first approach EVA using satellite-observed sea surface temperature (SST) data over past decades. Representative methods were compared select an appropriate method derive SST extremes of East/Japan Sea (EJS). As a result, peaks-over-threshold (POT) showed bet...

Ocean warming as a consequence of climate change occurred during the last decades is not homogeneous. This especially patent for coastal areas, where influenced by local processes that occur at different time and spatial scales. In this sense, plumes formed rivers discharge can play key role in sea surface temperature (SST) warming. SST trends points affected 19 world's mightiest (south 60°N) t...

The skill of a high-resolution Black Sea circulation model (ROMS) is assessed using the available satellite and field data for Surface Height Anomaly (SSHA), Temperature, CTD profiles. configured to simulate 9-year period between 2012 2021. model's standard analytical methods error calculation such as Root Mean Square Error (RMSE) correlation. Additionally, results are several more recent relat...

The world’s oceans are warming at an unprecedented rate, causing dramatic changes to coastal marine systems, especially coral reefs. We used three complementary ocean temperature databases (HadISST, Pathfinder, and OISST) quantify change in thermal characteristics of Caribbean reefs over the last 150 years (1871–2020). These sea surface (SST) included situ satellite-derived measurements multipl...

The present study investigated the significant sea surface temperature (SST) warming trend during summer season over Arabian Gulf (AG) and its links with large-scale atmospheric driver, namely, Atlantic multidecadal oscillation (AMO), from 1900 to 2021. link between AMO AGs oceanic circulations has received little scientific attention. It been found that there is a spatial positive trend, maxim...