Topic: hydrology-statistical Goto Github
Some thing interesting about hydrology-statistical
Some thing interesting about hydrology-statistical
hydrology-statistical,The purpose of this project is to investigate whether we can establish the effectiveness of natural flood management (NFM) interventions undertaken in the British town of Shipston-on-Stour during 2017 to 2020 from publicly available meteorological data and private data from the river gauge in Shipston.
Organization: ai4er-cdt
hydrology-statistical,it's a repository to develop proggrams of hydrology researchs,.
User: easy2learnai
hydrology-statistical,scripts developed for statistical hydrology - IMF - UNMSM.
User: geomarperales
hydrology-statistical,scripts developed for course of statistical hydrology - IMF - UNMSM.
User: geomarperales
hydrology-statistical,Hydrological analysis library built with xarray.
Organization: hydrologie
Home Page: https://xhydro.readthedocs.io
hydrology-statistical,Time Series Management and Analysis for Hydrological Modelling
User: hzambran
Home Page: https://CRAN.R-project.org/package=hydroTSM
hydrology-statistical,Repository for gathering Environmental Gauge data, processing that data, and doing basic exploratory (spatial) data analysis.
User: jds485
hydrology-statistical,Frequency analysis for ice jam floods applied in the Peace-Athabasca Delta, Canada. Serves as the paper code repository for Timoney et al. (2018) and Lamontagne et al. (in prep).
User: jds485
hydrology-statistical,Buishand and Double Mass tests for hydrologic Time serie homogeneity
User: loicduffar
hydrology-statistical,This research constitutes an attempt to assess the dry spell patterns in the northern region of Ghana, near Burkina Faso. We aim to develop a model which by exploiting satellite products overcomes the poor temporal and spatial coverage of existing ground precipitation measurements. For this purpose 14 meteorological stations featuring different temporal coverage are used together with satellite-based precipitation products. Conventional machine-learning and deep-learning algorithms were compared in an attempt to establish a link between satellite products and field rainfall data for dry spell assessment.
User: pargo18
hydrology-statistical,This is the statistical approach to estimate the design discharge (50 year return period flood) at a given site.
User: pcgotan
hydrology-statistical,Hydroclimalogy Analysis.....
Organization: sei-latam
hydrology-statistical,🎴 Card of Analyse and Diagnostic in R for a user-friendly experience of data aggregation with EXstat
User: super-lou
Home Page: https://github.com/super-lou/EXstat
hydrology-statistical,Model for estimating return periods for flood events
User: valeriyafilipova
hydrology-statistical,Hydrological Model (Berkeley). This project implements the underground (stochastic) hydrological model (in Python) that was developed during my postdoctoral tenure at the Dept. of Earth & Planetary Science, U. C. Berkeley, (2013 - 2016).
User: vrettasm
hydrology-statistical,Mini Project on Bayesian treatment of hydrological models
User: yannisza
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