Random forest spatial interpolation
For many decades, kriging and deterministic interpolation techniques, such as inverse
distance weighting and nearest neighbour interpolation, have been the most popular spatial …
distance weighting and nearest neighbour interpolation, have been the most popular spatial …
Spatio‐temporal interpolation of daily temperatures for global land areas at 1 km resolution
Combined Global Surface Summary of Day and European Climate Assessment and Dataset
daily meteorological data sets (around 9000 stations) were used to build spatio‐temporal …
daily meteorological data sets (around 9000 stations) were used to build spatio‐temporal …
Deep learning PM2.5 concentrations with bidirectional LSTM RNN
A better understanding of spatiotemporal distribution of PM 2.5 (particulate matter with
diameter less than 2.5 micrometer) concentrations in a continuous space-time domain is …
diameter less than 2.5 micrometer) concentrations in a continuous space-time domain is …
[HTML][HTML] Nonseparable dynamic nearest neighbor Gaussian process models for large spatio-temporal data with an application to particulate matter analysis
Particulate matter (PM) is a class of malicious environmental pollutants known to be
detrimental to human health. Regulatory efforts aimed at curbing PM levels in different …
detrimental to human health. Regulatory efforts aimed at curbing PM levels in different …
Estimating urban PM10 and PM2. 5 concentrations, based on synergistic MERIS/AATSR aerosol observations, land cover and morphology data
This study evaluates alternative spatio-temporal approaches for quantitative estimation of
daily mean Particulate Matter (PM) concentrations. Both fine (PM2. 5) and coarse (PM10) …
daily mean Particulate Matter (PM) concentrations. Both fine (PM2. 5) and coarse (PM10) …
Ordinary kriging as a tool to estimate historical daily streamflow records
WH Farmer - Hydrology and Earth System Sciences, 2016 - hess.copernicus.org
Efficient and responsible management of water resources relies on accurate streamflow
records. However, many watersheds are ungaged, limiting the ability to assess and …
records. However, many watersheds are ungaged, limiting the ability to assess and …
Spatio-temporal interpolation and bias correction ordering analysis for hydrological simulations: An assessment on a Mountainous River Basin
C Skoulikaris, P Venetsanou, G Lazoglou… - Water, 2022 - mdpi.com
Triggering hydrological simulations with climate change gridded datasets is one of the
prevailing approaches in climate change impact assessment at a river basin scale, with bias …
prevailing approaches in climate change impact assessment at a river basin scale, with bias …
Combination of multi-mission altimetry data along the Mekong River with spatio-temporal kriging
E Boergens, S Buhl, D Dettmering, C Klüppelberg… - Journal of …, 2017 - Springer
River water-level time series at fixed geographical locations, so-called virtual stations, have
been computed from single altimeter crossings for many years. Their temporal resolution is …
been computed from single altimeter crossings for many years. Their temporal resolution is …
Spatio-temporal assessment of WRF, TRMM and in situ precipitation data in a tropical mountain environment (Cordillera Blanca, Peru)
The estimation of precipitation over the broad range of scales of interest for climatologists,
meteorologists and hydrologists is challenging at high altitudes of tropical regions, where …
meteorologists and hydrologists is challenging at high altitudes of tropical regions, where …
Spatiotemporal interpolation of air pollutants in the Greater Cairo and the Delta, Egypt
SO Ahmed, R Mazloum, H Abou-Ali - Environmental research, 2018 - Elsevier
This paper analyses the spatiotemporal variability of air pollutants in Egypt using monthly
averages from the air quality monitoring network from 2011 to 2015. Particulate Matters (PM …
averages from the air quality monitoring network from 2011 to 2015. Particulate Matters (PM …