1. Discussion Questions to all Questions to SRNWP consortia
where is radar assimilation now? (eg cf satellite history?)
when will we stop thinking of radar as non-conventional data?
where is radar verification? (eg relative to gauges)
Questions to SRNWP consortia
what help do you need from others to develop use of radar within your modelling system? (eg exchange of radar data, forecast data, software, processing expertise etc)
what obstacles limit exploitation of radar data in your consortium?
what determines your priority for radar related work?
Questions to hydrologists & NWP community
do we want the same things out of radar data?
do we need different radar exchange, or radar processing?
how do we meet the challenges of coupling NWP and hydrological models (what are they?)

2. Sensitivity depends on Assimilation Technique
Requirements of NWP models on quality of precipitation data: short-period forecasting
Sensitivity depends on Assimilation Technique
feedback to dynamics weak (LHN) or strong (4D-Var)
Data frequency > assimilation time window
Remove gross location errors
don’t assimilate anaprop or cirrus
…. or missed rain as ‘no rain’
Estimate random intensity error variance
current quality of radar v gauge OK for today’s models
even poor rates near radar max range are useful to NWP
Estimate observation error correlation

3. NWP model has long memory of soil moisture bias
Requirements of NWP models on quality of precipitation data : data from land-surface models
NWP model has long memory of soil moisture bias
 need low bias in assimilated rainfall analysis on ~monthly timescale
 more aggressive clutter/anaprop removal
 combination with gauges