DESCRIPTION OF METHOD

RR_24 is the precipitation collected over the last 24 hours. The Qc1 check precipcollected_flag identifies if an RR_24 value is valid (fd=1), erroneous (fd=3) or is the accumulation (fd=2) of a number (N) of consecutive 24 hour periods, where N>1. For the case fd=2, the accumulated value shall be distributed over the N 24 hours periods. For each day the calculated

RR_24= model_value*observed_accumulation/sumof_model_values

where the model values for the N missing values of RR_24 are calculated by an interpolation from the other stations making measurements at the same time and for which fd=1. The initial interpolation method is an inverse 2-D distance weighting. (The method of interpolation applied shall eventually be pluggable and include 3-D options.)

The calculated RR_24 updates the corrected value in the kvalobs database.

QUALITY CONTROL LEVEL

Non-real time (Qc2).

RUN PARAMETERS

It shall be possible to run the algorithm for

* a fixed time range or
* an arbitrary interval from a past date up to the current time
* The typeid to which the algorithm is applied

CHARACTERISTICS OF DATA TO WHICH METHOD IS APPLIED:

CONTROLINFO AND/OR USEINFO:

Interpolation utilises data for which fd=1 [c(12)=1] and the corrections are applied to fd=2 and fhqc=0 [i.e. c(15)=0, indicated that no HQC is applied to the observation.]

TYPEID, PARAMIDS, OTHER METADATA:

Paramid=110

SPECIFICATION OF CONTROLFLAGS TO BE SET FOR EXPECTED RESULTS OF THE ALGORITHM, I.E. CONSIDER BOTH POSITIVE AND NEGATIVE RESULTS.

controlinfo fd=8, fstat=3

EXPECTATIONS OF THE USEINFO FLAGS CORRESPONDING TO CONTROLINFO FLAG SETTINGS.

unknown

DEPENDENCIES

Precipcollected_flag.pl

Additional Qc2 space controls

to determine the level of variability in the data volume
selection of data in a wet or dry volume
These methods will have an impact on the selection of points used in the interpolation to generate	model values and can lead to additional quality control flag settings.