RUC testing – Updated 22 Feb 2006
-
Stan Benjamin, NOAA/ESRL/GSD
-
Other contributors to code changes, testing – Geoff
Manikin – NCEP/EMC, John Brown, Steve Weygandt, Tanya Smirnova
Changes listed below for RUC analysis and model code are in
real-time testing as of today in
-
NOAA/ESRL/GSD ÔdevelopmentÕ RUC13 cycle
-
NCEP/EMC parallel RUC13 cycle (Geoff Manikin has parallel/oper
graphics available at http://www.emc.ncep.noaa.gov/mmb/ruc2/para
.)
o NCEP
para RUC13 has been running since November 2005
Overall effects of changes:
á Improved
precipitation over oceans and coastal areas
á Improved
upper-level winds – related to improved precipitation
á Improved
surface fields in coastal areas
Analysis
- More
restrictive observation quality control.
- Now
uses obs-minus-background threshold checks (e.g., ~8 K for temps, 12-20
m/s for winds. More
detailed conditions also set – larger thresholds in stratosphere,
smaller thresholds at surface, etc.). RUC 1h forecasts are used for background.
- Helps
screen isolated problem obs with profiler, aircraft, and surface
observations, that are not consistently detectable by RUC buddy-check QC.
- Added
check of mean temperature innovation (O-B) for aircraft reports, flagging
all reports from a given aircraft with at least 2K bias and at least 20
reports in last 1-h period.
(Added 16 Feb 2006 to GSD devRUC13.) – IMPLEMENTED Wed
22 Feb 2006 in operational NCEP RUC13.
- Improved
usage of coastal and ocean surface observations
- Revised
check of observation-model elevation difference for observations over
water grid points in model (e.g., KEYW, KACKÉ)
- Improves
representation of winds and ceiling/visibility over coastal and ocean
areas in RUC analysis.
- Nudging
of soil temperature and moisture (introduced with 13km RUC in June 2005)
is now strongly damped in coastal regions where the surface obs and model
land/water type result in representativeness problems. [This was evident in a 2m temp /
soil temp problem in eastern North Carolina found by EMC in Feb
2006.]
- Matching
of nearby grid points (land or water) to coastal observations for
calculating of innovations (observation-background difference) is
improved. This matching uses
the grid point with the smallest 2m temp innovation, assuming that this
indicates whether the coastal station is under a marine or land
influence. With this
the overall mean-absolute difference for METARs is decreased from ~1.4K
to ~1.0K, meaning that the coastal surface obs are now introducing less
noise in coastal areas, especially for temperature.
- Fix to
avoid bullseye in RUC analysis if lowest mandatory level with temp data
has elevation less than station elevation (shouldnÕt happen, but it did
for 12z on12 Nov 05 at Birmingham, AL).
- Fix
bug in cloud analysis
- The
current RUC cloud analysis inadvertently removes all rain and snow mixing
ratios under the condition of current precipitation from the nearest
METAR station. This is
exactly the opposite of what should happen.
Model
- Fix to
error in Grell-Devenyi convective parameterization over water areas
- G-D
convective parameterization uses an ensemble closure approach to estimate
mean mass flux, but the denominator to calculate this mean mass flux was
in error over water areas (where different closures are used). This problem was inadvertently
introduced with the RUC13 in June 2005.
- The
convective precipitation behavior is more realistic (and generally
stronger) with the fix over water areas (e.g., especially Gulf of Mexico,
but also off West Coast over eastern Pacific, and even over Great
Lakes). Upper-level
winds affected by latent heating from oceanic convection are also
improved.
- Digital
filter initialization (DFI) redesigned to provide more robust model
behavior and improve initial cloud fields (diabatic DFI)
- The
revised DFI in the RUC model now applies a backward integration first
(rather than second).
- The
forward DFI step is now with full physics, allowing more physical
consistency with latent heat effects and improved initial
cloud/hydrometeor fields affecting 0-2h forecasts of these variables.
- Diabatic
DFI allows the RUC model to run without failure using the
higher-resolution terrain elevation field for model failure cases (19
Nov, 22 Nov) with the RUC model using the original adiabatic DFI with the
high-res terrain elevation.
- The
new diabatic DFI also resets the RH and hydrometeor values back to the
analyzed values after the completion of the DFI. This was found to improve
the accuracy of short-range RH forecasts.
- Higher-resolution
topography (works reliably with diabatic DFI, last bullet)
- Better
orographic effects on near-surface winds (including downslope winds,
blocking) and precipitation.