ABSTRACT:

This dataset is used as input for implementing a space-time Bayesian hierarchical model (BHM) to reconstruct annual Sea Surface Temperature (SST) during the Holocene over a large domain based on SST at limited proxy locations in the equatorial (10°N-10°S) Pacific. The dataset consists of 2° gridded annual mean SST between 1854 and 2014, the paleo proxy SST data from 28 locations, locations of spatial knots, and the location of points used to calibrate the model.

ABSTRACT:

This dataset contains the files with time series of potential covariates, daily peak monsoon (July-August) streamflow used to post-process daily VIC streamflow forecast across the Narmada River basin network, India, for the period calibration (2003-2018). It also contains a file with basic information (longitude, latitude, and area) for the gauges considered here and observed data and covariates at the Handia gauge for the peak monsoon season 2021. The potential covariates comprise daily VIC forecasted (1- to 10-day lead time) and simulated streamflow from each gauge, and 1, 2, 3, and 4-days accumulated spatial average observed precipitation from the area between the station gauges from 1 to 10-day lead times. The observed streamflow and gridded precipitation data were obtained from the India Water Resources Information System (India-WRIS) and the India Meteorology Department (IMD). Then, data were processed to obtain the dataset presented here.

ABSTRACT:

This dataset contains the files with time series of potential covariates, daily monsoon period (July-August) streamflow used to post-process daily VIC streamflow simulations across the Narmada River basin network, India. The potential covariates are comprised of daily VIC simulated streamflow from each gauge, 1, 2, 3, and 4-days accumulated spatial average precipitation from the area between the station gauges, and daily VIC simulated streamflow from an upstream (feeder) gauge from the previous day. It also contains a file with basic information (longitude, latitude, and area) for the gauges considered here. The observed streamflow and gridded precipitation raw data were obtained from the India Water Resources Information System (India-WRIS) and the India Meteorology Department (IMD), respectively. Then, data were processed to obtain the dataset presented here.

ABSTRACT:

This dataset contains the files with time series of potential covariates, daily monsoon period (July-August) streamflow used to implement a Bayesian Hierarchical Network Model (BHNM) for ensemble forecasts of daily streamflow in the Narmada River basin, India. The potential covariates for 1 day lead time forecast are comprised of daily streamflow from an upstream (feeder) gauge, 1, 2, 3-days accumulated spatial average precipitation from the area between the station gauges. It also contains a file with basic information (longitude, latitude, and area) for the gauges considered here. The observed streamflow and gridded precipitation raw data were obtained from the India Water Resources Information System (India-WRIS) and the India Meteorology Department (IMD), respectively. Then, data were processed to obtain the dataset presented here.

ABSTRACT:

This dataset contains the files with time series of potential covariates, 3-day maximum spring streamflow, and average spring streamflow used to implement a space-time model for projection of seasonal streamflow extremes in the Upper Colorado River basin that considers the nonstationarity and spatio-temporal dependence of high flows. It also contains a file with basic information for the seven-station gauges considered here. The raw data were obtained from different sources such as USGS, NRCS, and NOAA. Then, data were processed to obtain the dataset presented here.