AMMA DELIVERABLE 1.1.3:
NOTE: indexes and key variables have been computed at the Centre de Recherches de Climatologie (UMR 5120 CNRS /
ATMOSPHERIC MONSOON INDEXES
The atmospheric monsoon indexes were computed from NCEP / DOE II dataset. using the following softwares: GRADS, the python language and its CDAT, spherepack, pyclimate, Scientific packages, and some of the plots provided here were done with R. All are "free" softwares, and all the scripts and programs that were used can be obtained by mail (Nicolas.Fauchereauatgmail.com).
You can take a look at the README file for dynamic indexes to know how the things were computed and what does what ...
NOTE: "Derived" daily fields (i.e. specific humidity, relative vorticity, velocity potential, Moist-Static-Energy fluxes and their convergence, atmospheric moisture fluxes and their convergence) at all standard pressure levels can be made available on demand, at either global or "African" scale (defined here as 30W - 30E / 35S - 35N). The fields are provided in NetCDF (COARDS compliant) format. Requests should be adressed to Nicolas Fauchereau (Nicolas.Fauchereauatgmail.com).
Rainfall indexes are computed from CMAP and GPCP datasets from 1979 to 2004 for 2 regional and 6 sub-regional domains, the figure below delineates the rainfall boxes:
are computed as the non-weighted average of precipitation values (mm/day)
reported for grid-points inside the box limits. the format is ASCII, each file
contains 5 columns, with:
column 1: a real with integer part being the year and decimal part being 1/73 increment (for plotting convenience, e.g. in many languages, plot(file(:,1),file(:,5)) or equivalent should place correct labels on the x-axis)
column 2: integer = number of the pentad of the year (from 1 to 73)
column 3: integer = day of the beginning of the pentad
column 4: integer = month of the beginning of the pentad
column 5: real = mean pentad precipitation rate (mm/day)
You can take a look at the README file for precipitation indexes to know how the things were computed and what does what ...
regional scale indexes
sub-regional scale indexes
show the time-evolution of CMAP (black) and GPCP (red) precipitation (raw data,
including the annual cycle, in mm/day).
The bottom plot on each figure is the difference (CMAP minus GPCP), allowing to identify disprecancys and outliers in the two datasets.
Hereafter are presented hoevmuller time-latitude diagrams averaged over 10W - 10E for each year