WaveWatch_timeseries

Timeseries of wave data extracted from .grb2 files. Timeseries contain a 30-year wave climatology that has been generated with the NOAA WAVEWATCH III® using the Ardhuin et al (2010) physics package, 15 regular lat-lon grids, and the NCEP Climate Forecast System Reanalysis and Reforecast (CFSRR) homogeneous dataset of hourly high-resolution winds. Model setup: Propagation scheme: Higher-order schemes with Tolman (2002) averaging technique (PR3) Linear input: Cavaleri and Malanotte-Rizzoli with filter (LN1) Nonlinear interactions: Discrete interaction approximation (NL1) Bottom friction: JONSWAP bottom friction formulation (BT1) Depth induced breaking: Battjes-Janssen (DB1) Use Miche-style shallow water limiter in equation for maximum wave energy (MLIM) The model was run with the Ardhuin et al (2010) source term package (ST4) which includes the flux computation in the sources (FLX0, STAB0). Additionally, the model uses a third order propagation scheme (UQ), with no damping or scattering by sea ice (IC0, IS0), and no reflection (REF0). Partition output in NetCDF format. These provide bulk spectral estimates for each wave system. Available hourly for each individual grid (where there is data). Data can be consulted by usage of the next examples: with the next python example: https://polar.ncep.noaa.gov/waves/how_to_read_partition.py (Python), https://polar.ncep.noaa.gov/waves/how_to_read_partition.m (Matlab) See for more information: https://polar.ncep.noaa.gov/waves/hindcasts/nopp-phase2.php Contact person for this dataset is Jaap Nienhuis - [email protected]

A method of characterization of the unsaturated hydraulic conductivity using consecutive field data

An adaptation of the infiltrating watershed methodology allows for the characterization of soil water retention and transfer parameters. It implies soil water content and water tension profiles measured frequently in order to solve the discretized unsaturated flow equation. The method differs from the water balance approach by avoiding the troublesome boundary conditions such as rainfall, runoff, evapotranspiration and nul flux plane. A computer program called ESCONDU is being tested with the help of the data obtained in 15 stations located in the Dyle river watershed for which a global model called MODYLE is being implemented.Anglai

An approach to follow the variation of the base flow of small watersheds

The term `base flow' means the contribution of the aquifer flow which sustains the river flow during droughts and permits pumping activities the year round. This paper proposes a way to obtain rather rapidly a good approximation of the behaviour of the base flow of a watershed only after a few months of measurements. After some considerations about data collecting, the hydrological assumptions which have lead to a simple base flow model are explained. The mathematical procedure of identification of the parameters of the model is then described and applied to three subbasins of the Dyle basin.Anglai

Modelling Landcover Change with a CA-Markov Model for the Siliana Hydrological Catchment (Northwestern Tunisia)

Simulating future land cover change is one of the major challenges for scientists, decision makers, and local authorities in terms of data, methods and models that should be used to create a sustainable land cover planning process. The study aims to evaluate the past land cover changes from 1990 to 2019 in Siliana catchment in Northwest Tunisia and predict the situation to 2030 and 2050