Friday, August 29, 2014

Tuesday, August 19, 2014

Methods and scores used for verifying ensemble forecasts

http://www.cawcr.gov.au/projects/EPSverif/scores/scores.html

http://www.eumetcal.org/resources/ukmeteocal/temp/msgcal/www/english/msg/ver_categ_forec/uos2/uos2_ko4.htm




FCST yes FCST no  Total
OBS yes hits misses observed yes
OBS no false alarms correct negatives observed no
Total forecast yes forecast no total



Root mean square error

Equation for root mean square error
Answers the question: What is the magnitude of the forecast errors?
Range: 0 to infinity.  Perfect score: 0.


Equitable threat score


Equation for equitable threat score
where Equation for hits due to random chance
Answers the question: How well did the forecast occurrence of events correspond to the actual (observed) occurrence of events?
Range: -1/3 to 1, 0 indicates no skill.   Perfect score: 1.


Bias score

Equation for bias
Answers the question: How does the forecast frequency of events compare to the actual (observed) frequency of events?
Range: 0 to infinity.  Perfect score: 1.


Brier score
Expansion of Brier Score
Answers the question: What is the magnitude of the probability forecast errors?
Range: 0 to 1.  Perfect score: 0.


Brier skill score
Equation for Brier skill score
Answers the question: What is the relative skill of the probabilistic forecast over that of climatology, in terms of predicting whether or not an event occurred?
Range: minus infinity to 1, 0 indicates no skill when compared to the reference forecast. Perfect score: 1.


Ranked probability score
ranked probability score formula
Answers the question: How well did the probability forecast predict the category that the observations fell into?
Range: 0 to 1.  Perfect score: 0.


Ranked probability skill score 
Equation for ranked probability skill score
Answers the question: What is the relative skill of the probabilistic forecast over that of climatology, in terms of getting close to the actual outcome?
Range: minus infinity to 1, 0 indicates no skill when compared to the reference forecast. Perfect score: 1.


 Relative value (value score)
Value score
Answers the question: For a cost/loss ratio C/L for taking action based on a forecast, what is the relative improvement in economic value between climatalogical and perfect information?
Range: minus infinity to 1.  Perfect score: 1.

Monday, August 18, 2014

NWP models

The NWP models evaluated are:  

GFS: The U.S. NCEP Global Forecast System;     
FNO: The U.S. Navy Fleet Numerical Meteorology and Oceanograpy Center;    
ECM: European Center for Medium-Range Weather Forecasts;    
UKM: The United Kingdom Met Office;    
CMC: The Canadian Meteorological Center;    
JMA: Japan Meteorological Agency;    
CDAS: The frozen version of GFS used for the NCEP/NCAR Reanalysis Project. 


The regions referred to are:  
G2 (GLB): Globe    
NHX: 20N-80N     
SHX: 20S-80S     
TRO: 20S-20N


Pattern correlations for all NWP models are computed using anomalies respective to a 30-year (1959-1988) climatology of the NCEP/NCAR reanalysis.

Friday, August 15, 2014

nail gun

Really like to have a nail gun, but feel confused all the time when shopping for them. 
The choices on display in store always seem to be too many that it makes you have no idea of what to choose. So this blog is meant to remove that kind of confusion.
 
Three major types of nail guns: ( usage, thickness and length )

brad : molding
gauge 23 , length [3/8 - 1 1/4 ] inch
gauge 18 , length [5/8 - 2     ] inch

finish : softwood & trim

gauge 16-15,  length [5/8 - 2 1/2] inch 

frame : frame & fence
gauge < 15  , length [2 - 3 1/3] inch

BFF:( brad, finish and frame) sounds like "beef"

gauge : the smaller number, the thicker of nail.