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Implementa)on Of A Data Assimila)on System In Conjunc)on With The New York State Mesonet Nick Bassill 1 & Ryan Torn 2 7 th EnKF Workshop May 27 th , 2016 1 New York State Mesonet, University At Albany, SUNY (nbassill at albany.edu) 2 University At Albany, SUNY

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Page 1: Implementaon+Of+A+Data Assimilaon+System+In+Conjunc)on+ …adapt.psu.edu/2016EnKFWorkshop/EnKFDAworkshop_public/... · 2016. 5. 27. · totalspread 10−Feb−2016 22:30:01 through

Implementa)on  Of  A  Data  Assimila)on  System  In  Conjunc)on  With  The  New  York  State  Mesonet  

 Nick  Bassill1  &  Ryan  Torn2  

 

7th  EnKF  Workshop  May  27th,  2016  

1New  York  State  Mesonet,  University  At  Albany,  SUNY  (nbassill  at  albany.edu)  

2University  At  Albany,  SUNY  

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Presenta)on  Overview  

•  Introduc)on  of  the  New  York  State  Mesonet  •  Incorpora)on  of  Numerical  Weather  Predic)on  •  Examina)on  of  a  test  case:  10th-­‐20th  February  2016  

•  Conclusions  

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Overview  of  the  New  York  State  Mesonet  

•  Originally  inspired  by  flooding  events  rela)ng  to  Hurricane  Irene  and  Tropical  Storm  Lee  of  2011  

•  Funding  was  eventually  allocated  as  part  of  the  Sandy  Supplemental  relief  bill  (a\er  Hurricane  Sandy  (2012))  

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Overview  of  the  New  York  State  Mesonet  

Standard  Observa6ons  (125  Sites):  •  Precipita)on  •  Temperature    •  Humidity  •  Wind  Speed  and  Direc)on  •  Solar  Radia)on  •  Barometric  Pressure  •  Soil  Temperature  (5,  25,  50  

cm)  •  Soil  Moisture  (5,  25,  50  cm)  •  Site  Photos  

Addi6onal  Observing  Networks  •  Ver)cal  Profiler  Network  (Microwave  

Radiometer,  LIDAR)  –  a  first!  •  Snow  Network  (Depth,  Water  Equivalent)  •  Flux  Network  (~17  –  TBD)  

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Numerical  Weather  Analysis  &  Predic)on  

•  A  512  core  compu)ng  cluster  will  soon  be  made  available  to  the  NYS  Mesonet  for  real-­‐)me  opera)ons  

•  One  primary  goal  will  be  to  create  high  temporal  (~1  h)  and  spa)al  (~3  km)  resolu)on  analyses  for  the  state  of  New  York  

•  This  will  be  done  within  a  WRF/DART  framework  •  Eventually,  short-­‐term  forecasts  may  be  incorporated,  computer-­‐permifng  

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Current  Expected  Configura)on  

•  Two  domains  –  15  km  &  3  km,  with  56  members  •  Perturbed  GFS  boundary  condi)ons  •  Physics:  – Goddard  MP,  MYJ  PBL,  Noah  LSM,  RRTM  &  Dudhia  radia)on  (chosen  a\er  tes)ng  high-­‐impact  test  cases)  

•  Inputs:  – ACARS,  METAR,  Radiosonde,  SSEC  Satellite  Wind,  Marine,  (NYS)  Mesonet,  possibly  Radiometer/Lidar  as  available  (future?)  

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Inner  and  Outer  Domains  (15/3  km)  

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Current  Experiment  Configura)on  •  Outer  domain  only  (15  km)  •  Perturbed  GFS  ini)al  condi)ons  and  boundary  condi)ons  

unique  to  each  member  and  each  cycle  •  Perform  3  hourly  assimila)on  cycles  

–  Adap)ve  Anderson  Infla)on  –  Gaspari  Cohn  localiza)on,  .05  (~600  km)  horizontal  localiza)on  

•  Inputs  for  Experiment  1:  –  ACARS,  METAR  Al)meter,  Radiosonde,  SSEC  Sat  Winds,  Marine  –  Evaluate  Only:  NYS  Mesonet,  Metar  wind/temp  

•  Inputs  for  Experiment  2:  –  Experiment  1  +  NYS  Mesonet  winds/temp  

•  Using  METAR  obs  as  “truth”  will  allow  us  to  assess  the  impact  of  adding  NYS  Mesonet  data  

•  Only  the  final  9  days  will  be  used  for  comparison  purposes  

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    Experiment  1      (le\)  

Experiment  2  (below)  

1°x1°  Binned    METAR  Biases  

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NY      Area      Biases  (a-­‐o):  Exp.  1                  -­‐>            Exp.      2  0.1131°  C      -­‐>        0.0983°  C    

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Experiment  1  Mesonet  Temperature  Biases  (a-­‐o)  

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Experiment  1  Mesonet  Temperature  Biases  (a-­‐o)  

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Conclusions  

•  Data  from  the  NYS  Mesonet,  currently  undergoing  installa)on,  will  be  used  in  conjunc)on  with  other  data  sources  to  create  high-­‐quality  analyses  for  New  York  

•  Very  preliminary  tests  suggest  possible  value  added  by  this  data,  but  significant  work  remains  to  be  done  

•  Future  work:    –  Test  addi)onal  cases  (the  current  Mesonet  has  >  2x  sites)  –  Add  inner  domain  to  test  cases  –  Understand  observa)on  error  characteris)cs  of  different  Mesonet  data  (bias  and  observa)on  error)  

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Experiment  1  temp  (°C)       Experiment  2  temp  (°C)      

Experiment  1  minus  2  temp  (°C)      

2  m  temperature  12  UTC,  14  Feb    Actual  Mesonet  temperatures  were  between  -­‐25°C  and  -­‐34°C  across  the  state  

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totalspread10−Feb−2016 22:30:01 through 20−Feb−2016 01:30:00

hPa

0 0.5 1 1.5 2

100150200250300

400

500

700

850

925

1000

totalspread pr=1.3573totalspread po=1.2792

0 2 4 6 8# of obs (o=possible, ∗=assimilated) x10000

AllACARS_TEMPERATURE

data file: /network/rit/lab/tornlab_rit/kylo/work/rundir/experiment1/obs_diag_output.nc

rmse10−Feb−2016 22:30:01 through 20−Feb−2016 01:30:00

hPa

0 0.5 1 1.5 2

100150200250300

400

500

700

850

925

1000

rmse pr=1.2006rmse po=1.0652

0 2 4 6 8# of obs (o=possible, ∗=assimilated) x10000

AllACARS_TEMPERATURE

data file: /network/rit/lab/tornlab_rit/kylo/work/rundir/experiment1/obs_diag_output.nc

bias (model − observation)10−Feb−2016 22:30:01 through 20−Feb−2016 01:30:00

hPa

−0.6 −0.4 −0.2 0 0.2

100150200250300

400

500

700

850

925

1000

bias pr=−0.22183bias po=−0.12746

0 8 16 24 32 40 48 56 64# of obs (o=possible, ∗=assimilated) x1000

AllACARS_TEMPERATURE

data file: /network/rit/lab/tornlab_rit/kylo/work/rundir/experiment1/obs_diag_output.nc

Experiment  1:  Acars  Temperature  

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totalspread10−Feb−2016 22:30:01 through 20−Feb−2016 01:30:00

hPa

0 0.5 1 1.5 2

100150200250300

400

500

700

850

925

1000

totalspread pr=1.3573totalspread po=1.2793

0 2 4 6 8# of obs (o=possible, ∗=assimilated) x10000

AllACARS_TEMPERATURE

data file: /network/rit/lab/tornlab_rit/kylo/work/rundir/experiment2/obs_diag_output.nc

rmse10−Feb−2016 22:30:01 through 20−Feb−2016 01:30:00

hPa

0 0.5 1 1.5 2

100150200250300

400

500

700

850

925

1000

rmse pr=1.2046rmse po=1.0702

0 2 4 6 8# of obs (o=possible, ∗=assimilated) x10000

AllACARS_TEMPERATURE

data file: /network/rit/lab/tornlab_rit/kylo/work/rundir/experiment2/obs_diag_output.nc

bias (model − observation)10−Feb−2016 22:30:01 through 20−Feb−2016 01:30:00

hPa

−0.6 −0.4 −0.2 0 0.2

100150200250300

400

500

700

850

925

1000

bias pr=−0.22046bias po=−0.12774

0 8 16 24 32 40 48 56 64# of obs (o=possible, ∗=assimilated) x1000

AllACARS_TEMPERATURE

data file: /network/rit/lab/tornlab_rit/kylo/work/rundir/experiment2/obs_diag_output.nc

Experiment  2:  Acars  Temperature  

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02/11 02/12 02/13 02/14 02/15 02/16 02/17 02/18 02/19 02/200

0.5

1

1.5

2

2.5

3

3.5

4

4.5

5

month/day − Feb.11,2016 00:00:00 start

tota

lspr

ead

AllMETAR_U_10_METER_WIND @ 1 surface

forecast: mean=4.1178 analysis: mean=4.0449

forecastanalysis

data file: /network/rit/lab/tornlab_rit/kylo/work/rundir/experiment1/obs_diag_output.nc

1380

1410

1440

1470

1500

1530

1560

1590

1620

1650

1680

# of

obs

: o=

poss

ible

, ∗=a

ssim

ilate

d

02/11 02/12 02/13 02/14 02/15 02/16 02/17 02/18 02/19 02/200

0.5

1

1.5

2

2.5

3

3.5

4

month/day − Feb.11,2016 00:00:00 start

rmse

AllMETAR_U_10_METER_WIND @ 1 surface

forecast: mean=2.2174 analysis: mean=2.0952

forecastanalysis

data file: /network/rit/lab/tornlab_rit/kylo/work/rundir/experiment1/obs_diag_output.nc

1400

1440

1480

1520

1560

1600

1640

1680

1720

# of

obs

: o=

poss

ible

, ∗=a

ssim

ilate

d

Experiment  1    (le\)  Experiment  2  (right)  Metar  zonal  wind   02/11 02/12 02/13 02/14 02/15 02/16 02/17 02/18 02/19 02/20

0

0.5

1

1.5

2

2.5

3

3.5

4

4.5

5

month/day − Feb.11,2016 00:00:00 start

tota

lspr

ead

AllMETAR_U_10_METER_WIND @ 1 surface

forecast: mean=4.1184 analysis: mean=4.0447

forecastanalysis

data file: /network/rit/lab/tornlab_rit/kylo/work/rundir/experiment2/obs_diag_output.nc

1380

1410

1440

1470

1500

1530

1560

1590

1620

1650

1680

# of

obs

: o=

poss

ible

, ∗=a

ssim

ilate

d

02/11 02/12 02/13 02/14 02/15 02/16 02/17 02/18 02/19 02/200

0.5

1

1.5

2

2.5

3

3.5

4

month/day − Feb.11,2016 00:00:00 start

rmse

AllMETAR_U_10_METER_WIND @ 1 surface

forecast: mean=2.2233 analysis: mean=2.0987

forecastanalysis

data file: /network/rit/lab/tornlab_rit/kylo/work/rundir/experiment2/obs_diag_output.nc

1400

1440

1480

1520

1560

1600

1640

1680

1720

# of

obs

: o=

poss

ible

, ∗=a

ssim

ilate

d

02/11 02/12 02/13 02/14 02/15 02/16 02/17 02/18 02/19 02/20−2

−1.5

−1

−0.5

0

0.5

1

1.5

2

2.5

3

month/day − Feb.11,2016 00:00:00 start

bias

(mod

el −

obs

erva

tion)

AllMETAR_U_10_METER_WIND @ 1 surface

forecast: mean=0.39951 analysis: mean=0.32545

forecastanalysis

data file: /network/rit/lab/tornlab_rit/kylo/work/rundir/experiment2/obs_diag_output.nc

1380

1410

1440

1470

1500

1530

1560

1590

1620

1650

1680

# of

obs

: o=

poss

ible

, ∗=a

ssim

ilate

d

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Test  Case  Overview  •  February  10-­‐20th  was  an  extremely  ac)ve  period  across  NY  

•  February  13-­‐15th  was  noteworthy  for  extreme  cold  weather  (as  cold  as  -­‐30°  F  across  opera)ng  mesonet  sites)  

•  February  15-­‐16th  featured  a  drama)c  “warm-­‐up”  as  temperatures  rose  across  the  state  roughly  60°  F  from  their  lows  just  36  hours  earlier  

•  This  was  accompanied  by  significant  precipita)on,  ranging  across  a  number  of  types  (FZRA,  RA,  SN)  

•  A\er  a  brief  cool-­‐down,  the  19-­‐20th  experienced  strong  southerly  winds,  with  por)ons  of  the  state  reaching  60°  F  

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