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An assessment of Southern Hemisphere extra-tropical cyclones in ERA5 using WindSat
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ERA5 reanalysis output is compared to WindSat measurements over cyclones
at Southern Hemisphere mid- to high-latitudes. WindSat provides an
independent measure of how well ERA5 represents cyclones, as WindSat is
not assimilated into ERA5. We implement a tracking scheme to identify
cyclone centres and tracks, before using cyclone composites to match
concurrent data in ERA5 and WindSat. We find that both ERA5 and WindSat
show comparable spatial structures for low level wind speed, total
column water vapour, cloud liquid water and precipitation. Compared to
WindSat, ERA5 underestimates total column water vapour by up to
5\% and cloud liquid water by up to
40\%. ERA5 underestimates precipitation in the warm
sector by up to 15\%, but overestimates in the cold
sector by up to 60\%. Similar biases in ERA5 are seen
when comparing to AMSR-E data, even though AMSR-E radiances are
assimilated into ERA5. Comparing ERA5 and WindSat across the cyclone
lifecycle, a strong correlation is seen across the cyclone as it deepens
and reaches peak intensity, before slightly declining as the cyclone
decays. In the cold sector ERA5 shows underestimation of cloud liquid
water, yet overestimates precipitation at all lifecycle stages. However,
in the warm sector precipitation is underestimated. This potentially
suggests the presence of biases within the ERA5 parameterisations of
cloud and precipitation causing a disconnect between the two. Despite
this, ERA5 shows strong correlation with WindSat and determines cyclone
structure well across the cyclone lifecycle, showing its value for use
in cyclone compositing analysis.
Title: An assessment of Southern Hemisphere extra-tropical cyclones in ERA5 using WindSat
Description:
ERA5 reanalysis output is compared to WindSat measurements over cyclones
at Southern Hemisphere mid- to high-latitudes.
WindSat provides an
independent measure of how well ERA5 represents cyclones, as WindSat is
not assimilated into ERA5.
We implement a tracking scheme to identify
cyclone centres and tracks, before using cyclone composites to match
concurrent data in ERA5 and WindSat.
We find that both ERA5 and WindSat
show comparable spatial structures for low level wind speed, total
column water vapour, cloud liquid water and precipitation.
Compared to
WindSat, ERA5 underestimates total column water vapour by up to
5\% and cloud liquid water by up to
40\%.
ERA5 underestimates precipitation in the warm
sector by up to 15\%, but overestimates in the cold
sector by up to 60\%.
Similar biases in ERA5 are seen
when comparing to AMSR-E data, even though AMSR-E radiances are
assimilated into ERA5.
Comparing ERA5 and WindSat across the cyclone
lifecycle, a strong correlation is seen across the cyclone as it deepens
and reaches peak intensity, before slightly declining as the cyclone
decays.
In the cold sector ERA5 shows underestimation of cloud liquid
water, yet overestimates precipitation at all lifecycle stages.
However,
in the warm sector precipitation is underestimated.
This potentially
suggests the presence of biases within the ERA5 parameterisations of
cloud and precipitation causing a disconnect between the two.
Despite
this, ERA5 shows strong correlation with WindSat and determines cyclone
structure well across the cyclone lifecycle, showing its value for use
in cyclone compositing analysis.
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