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Talkin Bout the Resolution

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Statement of the problem. Long, roundabout approach to solving the problem, using ... Need help from orography. Need to get money to investigate! Into the future ... – PowerPoint PPT presentation

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Title: Talkin Bout the Resolution


1
Talkin Bout the Resolution
  • Or
  • Physically based rainfall disaggregation
  • Or
  • Trying to get useful forecasts of convective

2
What Im Gonna Tell You About
  • Statement of the problem
  • Long, roundabout approach to solving the problem,
    using
  • Remote Sensing
  • Simple (very) convective model
  • Some results
  • Everything I neglected to mention

3
THE PROBLEMNWP Model Convective Rainfall
Forecast Fields
  • Color Scale

1-2mm
100 km
Rainfall
100km
4
Surface heating and rainfall
Thunderstorm tracks 22/07/96
Fox and Collier (2000)
5
Two ways to go
  • We can throw away NWP model data
  • This means doing our own thing
  • We need to know something about water vapor
    availability
  • We can keep the NWP output
  • This means we develop a dimensionless
    disaggregation parameter
  • We use all that lovely water budget information
    wrapped up in the model

6
Both ways are based on
  • Simple estimation of convective rainfall rate
    from

R Rainfall rate ? Density of air ?s
saturated mixing ratio W vertical velocity
7
ALL ARE MEASURED AT AN ALTITUDE OF Z
  • Z is the height of the cloud base
  • We assume this is the top of the atmospheric
    boundary layer (potential temperature step)
  • We can find Z from a simple convective model if
    we know the surface sensible heat flux

8
Finding wZ
  • wZ can be found from the sensible heat flux and
    the surface temperature

9
Assuming adiabatic parcel ascent within a
boundary layer of constant potential temperature
Tz - Parcel temperature Te environment
temperature Ta surface air temperature
10
We need from remote sensing the following
  • Surface temperature
  • Sensible heat flux
  • Depends on evapotranspiration and NDVI
  • NDVI
  • Evapotranspiration
  • Found from change in soil moisture content

11
Remote sensing
  • From AVHRR
  • Surface temperature
  • NDVI
  • From SAR (well, sort of)
  • Soil moisture
  • Analysis in ERDAS Imagine

12
Features of the SHF field
  • Lots of SH
  • In urban areas
  • High absorption of solar radiation
  • Little evapotranspiration
  • Not much SH
  • Upland forested moors
  • Lots of evapotranspiration

13
Neils theory of organized vegetation
  • If vegetation is arranged in an organized pattern
    and the wind blows in the right direction then
  • One can enhance local circulations (NCMC
    Non-classical mesoscale circulations)
  • One can change rainfall patterns
  • Need to get the right wavelength
  • Need help from orography
  • Need to get money to investigate!

14
Into the future
  • If we can predict the required fields for a few
    days ahead we can make forecasts
  • Net radiation
  • We know solar elevation etc
  • We have measured albedo
  • NDVI is not going to change much
  • SMC we model using a 1/day1/2 relationship
  • IT ALL FALLS APART IF IT RAINS!

15
Case study
  • NW England
  • Manchester
  • Mersey Basin
  • West Pennine Moors
  • July 1996

16
If we ignore NWP output
  • We need knowledge of water vapor availability
  • We can get this from remote sensing also BUT
  • We cannot forecast forward on time
  • Unless we use some form of frequency distribution
    of precipitable water to produce a probability of
    certain rainfall and stream flow

17
On the other hand
  • If we assume that the model is pretty good at
    gross water balance and that the average
    convective fall over the grid square is accurate
    THEN
  • We need a normalized parameter to distribute
    (disaggregate or downscale) the NM rainfall

18
CDP Convective Disaggregation Parameter (f)
Mean f
Normalized f
19
Disaggregated square convective rainfall
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