|
|
| GeoCommunity Mailing List |
| |
| Mailing List Archives |
| Subject: | Re: [gislist] [ai-geostats] Optimal rain gauge network |
| Date: |
01/09/2006 05:00:01 AM |
| From: |
Craig von Hagen |
|
|
Hi Gerald,
Thanks very much. However maybe it was not clear in my first email. We are not just interested in checking the gauge readers but also in:
1. Connecting Somalia to the Global Observing System =
2. Feeding into the GTS to allow for validation of RFE data (and corrections used in the RFE 2.0 algorithm). 3. Using the data collected to provide data on storm duration and intensity (at present we only get 24 hour readings) 4. Real time flood forecasting and drought monitoring.
The use of the rain gauges for checking/validating manual readings is an added benefit.
I am also looking into the WMO methods for establishing a gauge network.
So far responses received from the list for optimal gauge location inlcude: stratification by elevation - assumption being rain increases with height (although not really the case here as we have rainfall on the coast). =
- wieghting locations in terms of their contribution to flooding - adding gauges at locations where their is most uncertainty - taking into account topogrpahy, slope and coastal effects.
Further inputs are welcome...
Regards Craig
--- Gerald van den Boogaart <boogaart@uni-greifswald.de> wrote:
> Dear Craig von Hagen, > =
> If you install a network of automated gauges, which > is dense enough to make a =
> map to check the manual gauges, sure enough it makes > the manual network =
> superfluous. =
> =
> And such network would not really help evaluating > the operators: > * Anyway if the measurement of a manual gauge is > underestimated systematically =
> by the interpolated surface I would first suspect a > difference in =
> microclimate to be the origin of that and not a bad > operator. =
> =
> * If the variation of the measurement is > underestimated by the kriging error I =
> would suspect an additional measurment error in the > manual measurements or a =
> ill specified variogramm before blameing the > operator. > =
> If you would like to check a manual network you > might consider two options: > =
> 1) Install mobile automatic gauges next to manual > ones and check by simple =
> comparison (however you need to consider wether the > operator should be =
> allowed to know that he is controlled currently). > Than move the mobile gauge =
> to the next station. =
> =
> 2) To check single operators you can run > cross-validation with the existing =
> manual network: estimate a prediction and a kriging > error from all stations =
> but the one to be checked and compare. You need to > add the nugget effect of =
> the semivariogram to the kriging error to get the > variance of =
> Prediction-Measurement. =
> =
> Best regards, > Gerald v.d. Boogaart =
> =
> =
> =
> =
> Am Dienstag, 3. Januar 2006 14:53 schrieb Craig von > Hagen: > > Hi All, > > > > I have an interesting problem to solve, I hope > > someone could help me. > > > > We are working on flood early warning in Somalia > > and we have the following situation. > > > > We have an existing network of manual rain gauges > > that we receive on a monthly basis with daily > > readings taken manually by a person in the field. > > These however can be unreliable. > > > > We have an option to install automatic rain gauges > > that would give us an accurate measurement of > > rainfall per day. We would like to use > > geo-statistics to then give a prediction and error > > surface and then use these surfaces to evaluate > how > > accurate and reliable our existing manual network > > is. > > > > Is there a way to calculate the optimal network > > (number and location) for the automatic stations > so > > that we get a reliable prediction surface which we > > can then use to evaluate our manual network? > > > > I am the most familiar with the ArcGIS > GeoStatistical > > Analyst. > > > > Thanks and regards > > Craig > > > > > > Craig von Hagen > > FAO - GLCN/Africover/SWALIM Projects > > PO Box 30470-00100 > > Nairobi, Kenya > > > > Tel: +254 20 444 3331 > > Fax: +254 20 444 1993 > > > > www.africover.org > > www.glcn.org: www.glcn-lccs.org > > www.faoswalim.org > > > > > > > > > ___________________________________________________________ > > To help you stay safe and secure online, we've > developed the all new Yahoo! > > Security Centre. http://uk.security.yahoo.com > =
> -- =
> ------------------------------------------------- > Prof. Dr. K. Gerald v.d. Boogaart > Professor als Juniorprofessor fuer Statistik > h
|
|

Sponsored by:

For information regarding advertising rates Click Here!
|