EnsoPrMapJja
Computes the spatial root mean square error (RMSE) of global (60°S-60°N) precipitation anomalies (PRA) during boreal summer (JJA averaged) between model and observations
TropFlux and GPCPv2.3 1979-2018 (main)
SST: 20CRv2 1871-2012, ERA-Interim 1979-2018, ERSSTv5 1854-2018, HadISST 1870-2018, NCEP2 1979-2018
PR: 20CRv2 1871-2012, CMAP 1979-2018, ERA-Interim 1979-2018, NCEP2 1979-2018
Niño3.4, global60
model and observations regridded toward a generic 1°x1° grid (using cdms esmf linear method)
- seasonal cycle removed
- detrending (if applicable)
- spatial average
- seasonal cycle removed
- detrending (if applicable)
- regridding (if applicable)
- JJA Niño3.4 SSTA regressed onto JJA PRA global (60°S-60°N)
- correlation computation
- RMSE computation
monthly
mm/day/°C
- precipitation (PR)
- sea surface temperature (SST)
The first level shows the diagnostic used to compute the metric and highlight the main differences between the model and the reference.
Figure 1: structure of precipitation anomalies (PRA) on Earth (between 60°S-60°N), showing the location of PRA associated with ENSO. Usually the teleconnection pattern is ok - rmse ~ 0.30mm/day/°C. The left and right maps show respectively the reference and the model. The main metric derived is the spatial RMSE between the model map and the reference map.
The second level shows the same diagnostic with La Niña (norm. December Niño3.4 SSTA < -0.75) and El Niño (norm. December Niño3.4 SSTA > 0.75) events composites.
Figure 2: structure of precipitation anomalies (PRA) on Earth (between 60°S-60°N), showing the location of PRA associated with La Niña (top) and El Niño (bottom). It shows that teleconnections are not totally symmetric (e.g. South-East Asia or USA). It also shows that some model biases are more related to one phase of ENSO than the other: here the teleconnection bias in South America is more related to a too weak increase of PR during La Niña and the bias.
The Third level focusses on teleconnections over key land regions: southern half of Africa, North America, South America, South East Asia, Australia.
Figure 3: precipitation anomalies (PRA) over the southern half of Africa. The reference shows a negative teleconnection (up to 0.8mm/day/°C) over Africa north of the equator. Here, the spatial teleconnection pattern is quite well simulated. The left and right maps show respectively the reference and the model.
Figure 4: same as Figure 3 with La Niña (norm. December Niño3.4 SSTA < -0.75) and El Niño (norm. December Niño3.4 SSTA > 0.75) events composites.
Figure 5: precipitation anomalies (PRA) over North America. The reference shows a small positive teleconnection (up to 0.3mm/day/°C) over southeast USA (around the Gulf of Mexico) and over Quebec, and a negative teleconnection (more than 1mm/day/°C) over Mexico. Here, the spatial teleconnection pattern is quite uniform over Canada and USA, and too weak over Mexico. The left and right maps show respectively the reference and the model.
Figure 6: same as Figure 5 with La Niña (norm. December Niño3.4 SSTA < -0.75) and El Niño (norm. December Niño3.4 SSTA > 0.75) events composites.
Figure 7: precipitation anomalies (PRA) over South America. The reference shows a strong negative teleconnection north of the Amazon river (less than -1mm/day/°C), and a positive teleconnection (around 0.8mm/day/°C) over south and southeastern South America (Argentina and Uruguay). Here, the spatial teleconnection pattern is quite well reproduced but anomalies are too weak. The left and right maps show respectively the reference and the model.
Figure 8: same as Figure 7 with La Niña (norm. December Niño3.4 SSTA < -0.75) and El Niño (norm. December Niño3.4 SSTA > 0.75) events composites.
Figure 9: precipitation anomalies (PRA) over South East Asia. The reference shows a positive teleconnection in Indochinese peninsula and Southeast China (around 0.7mm/day/°C), and a negative teleconnection over over India Sand Indonesia (less than -1mm/day/°C). Here, the model simulates a pattern close to the observed one but the positive teleconnection is too strong over the Indochinese peninsula and too weak over Southeast China. The left and right maps show respectively the reference and the model.
Figure 10: same as Figure 9 with La Niña (norm. December Niño3.4 SSTA < -0.75) and El Niño (norm. December Niño3.4 SSTA > 0.75) events composites.
Figure 11: precipitation anomalies (PRA) over Australia. The reference shows negative teleconnections over this region with minima over New Guinea (around -1mm/day/°C), eastern Australia (around -0.6mm/day/°C). Here, the model simulates a pattern close to the observed one, but the teleconnection over Australia is too strong. The left and right maps show respectively the reference and the model.
Figure 12: same as Figure 11 with La Niña (norm. December Niño3.4 SSTA < -0.75) and El Niño (norm. December Niño3.4 SSTA > 0.75) events composites.