• No results found

Weekly Meeting 18Aug2017 Forecast SW (LSR3) with the linear regression model o Using 5

N/A
N/A
Protected

Academic year: 2022

Share "Weekly Meeting 18Aug2017 Forecast SW (LSR3) with the linear regression model o Using 5"

Copied!
4
0
0

Bezig met laden.... (Bekijk nu de volledige tekst)

Hele tekst

(1)

Weekly Meeting 18Aug2017

Forecast SW (LSR3) with the linear regression model o Using 5o×5o box-averaged anomaly

o Using GEFS predicted SCP as a predictor o Forecasts for MAM

o Forecast skill assessed based on cross-validation

• Anomaly correlation

• Hit rate (3 categories, 33% each)

o Comparison between the skills with 5o×5o box- averaged anomaly vs. 0.5o×0.5o grid

o Check hit rate

(2)

0.5

o

×0.5

o

(3)

5

o

×5

o

(4)

LSR3 (5

o

×5

o

)

Referenties

GERELATEERDE DOCUMENTEN

[r]

 The 45-day CFSv2 hindcast data (1999–2012) were extended to 2014 by including the real-time forecasts (2013–2014)..  Areas were selected for constructing

 Correlation between weekly mean CFSR SCP and LSR o Total field. o

from the CFSR

Percentage Percentage PercentagePercentage

o LSR: Local Storm Report (hail, tornado, damaging wind) o Anomaly correlation (AC) for 7-day mean.. o 3-month shift windows o Conditional AC (SCP

Weekly Meeting 07Jul2017..  Co-variability between SCP

 The correlation (GEFS SCP, OBS LSR) can be increased by averaging both SCP and LSR anomalies in a larger domain prior to calculating the correlation.  The skill for forecasting