Drought is a recurring phenomenon in Ethiopia that significantly impacts the socioeconomic sector and various components of environment. The overarching goal this study to assess spatial temporal patterns meteorological drought using satellite-derived rainfall product for Upper Blue Nile Basin (UBN). satellite used was selected through evaluation five high-resolution products (Climate Hazards Group InfraRed Precipitation with Stations (CHIRPS) v2.0, Estimation from Remotely Sensed...

Abstract This study focuses on evaluating four widely used global high-resolution satellite rainfall products [the Climate Prediction Center’s morphing technique (CMORPH) product, the Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) near-real-time product (3B42RT), TMPA method post-real-time research version (3B42), and Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) product] with a spatial resolution of 0.25°...

The Upper Blue Nile (UBN) basin is less-explored in terms of drought studies as compared to other parts Ethiopia and lacks a basin-specific monitoring system. This study compares six indices: Standardized Precipitation Index (SPI), Evaporation (SPEI), Evapotranspiration Deficit (ETDI), Soil Moisture (SMDI), Aggregate Drought (ADI), Runoff-discharge (SRI), evaluates their performance with respect identifying historic events the UBN basin. indices were calculated using monthly time series...

This study investigates the spatial and temporal variation of meteorological droughts in Upper Blue Nile (UBN) basin Ethiopia using long historical records (1953–2009) for 14 stations, relatively short (1975–2009) 23 other stations. The influence varying record length on drought category was studied by comparing Standard Precipitation Index (SPI) results from stations with length, taking out incrementally 1-year 1953 to 1975. These analyses show that 1975 has limited effect changing hence...

The increasing drought severities and consequent devastating impacts on society over the Indian semi-arid regions demand better monitoring early warning systems. Operational agricultural assessment methods in India mainly depend a single input parameter such as precipitation are based sparsely located in-situ measurements, which limits precision. overarching objective of this study is to address need through development an integrated agro-climatological approach, i.e., combined indicator for...

Developing a robust drought monitoring tool is vital to mitigate the adverse impacts of drought. A system that integrates multiple agrometeorological variables into single indicator lacking in areas such as Ethiopia, which extremely susceptible this natural hazard. The overarching goal study develop combined (CDI-E) monitor spatial and temporal extents historic agricultural events Ethiopia. CDI-E was developed by combining four satellite-based input parameters – Standardized Precipitation...

Drought is a natural climatic phenomenon that occurs throughout the world and impacts many sectors of society. To help decision-makers reduce drought, it important to improve monitoring tools provide relevant timely information in support drought mitigation decisions. Given complex hazard manifests different forms, can be improved by integrating various types (e.g., remote sensing climate) region specific identify where when droughts are occurring. The Vegetation Response Index for Canada...

ABSTRACT This study aims to identify the best machine learning (ML) approach predict concentrations of biochemical oxygen demand (BOD), nitrate, and phosphate. Four ML techniques including Decision tree, Random Forest, Gradient Boosting XGBoost were compared estimate water quality parameters based on biophysical (i.e., population, basin area, river slope, level, stream flow), physicochemical properties conductivity, turbidity, pH, temperature, dissolved oxygen) input parameters. The...

The objectives of this paper were to 1) develop an empirical method for selecting relevant attributes modelling drought, and 2) select the most attribute drought predictions in Greater Horn Africa (GHA). Twenty four from different domain areas used experimental analysis. Two selection algorithms current study: Principal Component Analysis (PCA) correlation-based (CAS). Using PCA CAS algorithms, 24 ranked by their merit value. Accordingly, 15 selected GHA. average values ranged 0.5 0.9....

The ecosystem performance approach, used in a previously published case study focusing on the Nebraska Sandhills, proved to minimize impacts of non-climatic factors (e.g., overgrazing, fire, pests) remotely-sensed signal seasonal vegetation greenness resulting better attribution its changes climate variability. current validates applicability this approach for assessment and interannual forage production western United States semi-arid grasslands. Using piecewise regression tree model, we...

Cyprus experiences the highest level of water stress among European Union countries due to several interplaying factors such as rainfall variability and increasing demand. These instigate nation build dams on almost all rivers island satisfy requirements for drinking irrigation. Many studies have been primarily conducted assessing availability various uses, particularly supply However, there is still a gap/less explored area in terms better understanding changes surface over time. Thus, this...

The aim of this study is to discretize precipitation through interpolation utilizing the inverse square distance and elevation as weighting elements represent spatial temporal variation rainfall. This technique has proven be highly effective in capturing variability by integrating data from 15 stations built a network 39 rain gauges clustered subbasins, generating continuous time series 2006 2022. Validation double mass method confirmed accuracy these series, all exhibiting coefficient...

Drought monitoring, and its impact management planning, has been a challenge for decision makers mainly because of lack reliable information support tools. The main objective the study was to develop remote sensing-based vegetation condition drought-monitoring approach pastoralist areas using multi-temporal spatial resolution satellite, climate, biophysical datasets. Twenty-four years data (1983–2006) from 11 attributes were extracted used developing prediction models. A classification...

To reduce the impacts of drought, developing an integrated drought monitoring tool and early warning system is crucial more effective than crisis management approach that commonly used in countries like Ethiopia. The overarching goal this study was to develop a higher-spatial-resolution vegetation outlook (VegOut-UBN) model integrates multiple satellite, climatic, biophysical input variables for Upper Blue Nile (UBN) basin. VegOut-UBN uses current historical observations predicting condition...

Irrigation-led farming system intensification and efficient use of ground surface water resources are currently being championed as a crucial ingredient for achieving food security reducing poverty in Nepal. The potential scope sustainability irrigation interventions under current future climates however remains poorly understood. Potential adaptation options Western Nepal were analyzed using bias-corrected Regional Climate Model (RCM) data the Soil Water Assessment Tool (SWAT) model. RCM...

Drought is one of the least understood and complex natural hazards often characterized by a significant decrease in water availability for prolonged period. It can be manifested or more forms as meteorological, agricultural, hydrological, and/or socio-economic drought. The overarching objective this study to demonstrate characterize different droughts assess multidimensional nature drought Abbay/ Upper Blue Nile River (UBN) basin its national regional scale implications. In study, multiple...

Developing an agricultural drought monitoring index through integrating multiple input variables into a single is vital to facilitate the decision-making process. This study aims develop (agCDI) monitor and characterize spatial temporal patterns of in Sri Lanka. Long-term (1982 2020) remote sensing model-based agroclimatic parameters—normalized difference vegetation (NDVI), land surface temperature (LST), 3-month precipitation z-score (stdPCP), evaporative demand (EDDI)—were used agCDI. The...

The objective of this study was to develop information mining methodology for drought modeling and predictions using historical records climate, satellite, environmental, oceanic data. classification regression tree (CART) approach used extracting episodes at different time-lag prediction intervals. Using the CART approach, a number successful model trees were constructed, which can easily be interpreted by decision makers in their management decisions. rules produced found have correlation...

The overarching objective of this study was to evaluate the performance nine precipitation-based and twelve temperature-based climatic indices derived from four regional climate models (CRCM5-UQUAM, CanRCM4, RCA4 HIRHAM5) driven by three global circulation (CanESM2, EC-EARTH MPI-ESM-LR) their ensemble mean for reference period 31 years (1975–2005). absolute biases, pattern correlation, reduction variance (RV) Standardized Precipitation Evapotranspiration Index (SPEI at 3-, 6- 12-month...

Abstract. The accurate assessment of the propagation drought hazards to socio-economic impacts poses a significant challenge and is still less explored. To address this, we analyzed sub-national disaster dataset called Geocoded Disaster (GDIS) evaluated skills multiple indices pinpoint areas identified by GDIS. For comparative analysis, widely used Standardized Precipitation Index (SPI), Normalized Difference Vegetation (NDVI), Soil Moisture (SSI), Temperature (STI) were globally computed at...