no code implementations • 18 Aug 2023 • Jared D. Willard, Charuleka Varadharajan, Xiaowei Jia, Vipin Kumar
Prediction of dynamic environmental variables in unmonitored sites remains a long-standing challenge for water resources science.
no code implementations • 25 Feb 2022 • Jangho Park, Juliane Muller, Bhavna Arora, Boris Faybishenko, Gilberto Pastorello, Charuleka Varadharajan, Reetik Sahu, Deborah Agarwal
We present an approach that uses a deep learning model, in particular, a MultiLayer Perceptron (MLP), for estimating the missing values of a variable in multivariate time series data.
no code implementations • 28 Aug 2019 • Juliane Mueller, Jangho Park, Reetik Sahu, Charuleka Varadharajan, Bhavna Arora, Boris Faybishenko, Deborah Agarwal
Sustainable management of groundwater resources under changing climatic conditions require an application of reliable and accurate predictions of groundwater levels.