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PEACFLOW_Manaus-flood-forecasting

! ----------------------------------------------------------COPYRIGHT----------------------------------------------------------
! (C) Copyright 2021 University of Reading. All rights reserved.
! ----------------------------------------------------------COPYRIGHT----------------------------------------------------------
!
! This file is part of the CSSP Brazil PEACFLOW Project.
!
! Please include the following form of acknowledgement in any presentations/publications
| that use any of the code stored in this repository:
! "The development of PEACFLOW_Manaus-flood-forecasting repository
! (https://github.com/achevuturi/PEACFLOW_Manaus-flood-forecasting)
! was supported by the Newton Fund through the Met Office
! Climate Science for Service Partnership Brazil (CSSP Brazil)
! and was developed at University of Reading."
!
! The CSSP Brazil PEACFLOW Project is free software: you can redistribute it and/or modify
! it under the terms of the Modified BSD License,
! as published by the Open Source Initiative.
!
! The CSSP Brazil PEACFLOW Project is distributed in the hope that it will be ! useful,
! but WITHOUT ANY WARRANTY; without even the implied warranty
! of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the Modified BSD License for more details.
!
! For a copy of the Modified BSD License
! please see http://opensource.org/licenses/BSD-3-Clause.
! -----------------------------------------------------------------------------------------------------------------------------

Author: Amulya Chevuturi, National Centre for Atmospheric Science, Department of Meteorology, University of Reading, Reading, UK ([email protected])

Contributors:
Nicholas P. Klingaman, National Centre for Atmospheric Science, Department of Meteorology, University of Reading, UK
Steven J. Woolnough, National Centre for Atmospheric Science, Department of Meteorology, University of Reading, UK
Conrado M. Rudorff, National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN), Brazil
Caio A. S. Coelho, Centre for Weather Forecast and Climate Studies (CPTEC), National Institute for Space Research (INPE), Brazil
Jochen Schöngart, Instituto Nacional de Pesquisas da Amazônia (INPA), Manaus, Brazil

Contact: For more information please contact Prof. Steve Woolnough ([email protected])

Project and Funding: Forecast model from the Predicting the Evolution of the Amazon Catchment to Forecast the Level Of Water (PEACFLOW) project. PEACFLOW project is funded by Newton Fund through the Climate Science for Service Partnership (CSSP) Brazil project at UK Met Office.

Modules: This repository contains two modules.

Description: This repository contains models for forecasting annual maximum water level for the Negro River at Manaus, using observations and seasonal forecasts data using the two modules. Each module within this repository ("Using_Observations" or "Using_Seasonal-Forecasts") has models that forecast annual maximum water level for the Negro River at Manaus at different lead-time. For more details about the models and their execution please read the README.md files contained within each module folders.

Citation: Depending on the module used, the users who apply the software resulting in presentations/publications, are kindly asked to cite one/both of the publication below:

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