Development of a high resolution planetary boundary layer height analysis system using aircraft, radiosonde, and NYS mesonet profiler data and the analysis.

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Presentation transcript:

Development of a high resolution planetary boundary layer height analysis system using aircraft, radiosonde, and NYS mesonet profiler data and the analysis impact on atmospheric transport and dispersion Jeongran Yun, Sarah Lu, Qilong Min, and Wei-Ting Hung 1 Jeff McQueen, Perry Shafran, Jeff Whiting, Geoff DiMego, Manuel Pondeca, Runhua Yang, and Yanqiu Zhu 2 Ariel Stein 3 1the State University of New York, University at Albany 2 NOAA/NCEP 3 NOAA/ARL 01/11/2017 , 8TH IWAQFR conference, Toronto, Canada

Outline Motivation NYS mesonet project PBL analysis system and preliminary results Dispersion application Summary and future work 2017 8TH IWAQFR conference, Toronto, Canada

Outline Motivation NYS mesonet project PBL analysis system and preliminary results Dispersion application Summary and future work 2017 8TH IWAQFR conference, Toronto, Canada

Motivations Reliable and curate estimates of PBL heights are important due to its role in many applications: weather forecasting, dispersion and air quality modeling PBL verification system has been established at the NOAA NCEP PBL is not assimilated for operational purpose yet The goal: to develop a high resolution PBL height analysis system, which can be used operationally in the future when NYS mesonet profiler observation data are available in 2017 2017 8TH IWAQFR conference, Toronto, Canada

The impact of improved boundary layer on CMAQ ozone forecasts from the study Comparison of daily 8hr max ozone prediction from the NAM-CMAQ with the operational CB-IV chemical mechanism to observations from the monitoring networks (e.g., EPA AIRNow, colored circles, ppb) using a) the CMAQ default derived PBL height b) the RTMA PBL height valid August 10, 2010 The ozone simulation shows improvement over the Baltimore- Washington urban corridor when using the PBL analysis b) by Jeff McQueen 2017 8TH IWAQFR conference, Toronto, Canada

Outline Motivation NYS mesonet project PBL analysis system and preliminary results Dispersion application Summary and future work 2017 8TH IWAQFR conference, Toronto, Canada

Why a Mesonet in New York? Scarcity of weather observations in NY Long-term trends of heavier rainfall Recent history of very expensive high-impact events State economy is especially sensitive to weather Valuable for emergency management, utilities, ground transportation (roads, rail), aviation, agriculture, etc. 2017 8TH IWAQFR conference, Toronto, Canada

NYS mesonet brief overview NYS mesonet awarded 1 April 2014 125 standard stations including: Soil moisture/temperature at 3 depths Camera (still images) 20 snow sites 17 profiler (“enhanced”) sites 17 flux sites Data collected in every 5 min Currently 113 standard sites and 1 profiler site operational as of 1/6/2017 Continue to install 1-2 enhanced sites per week The NYS MESONET: Jerald Brotzge, Christopher Thorncroft, and Everette Joseph 2017 8TH IWAQFR conference, Toronto, Canada

17 Enhanced stations LIDARs Microwave Radiometers Vertical wind profiles up to 3 km AGL Selected RNRG/Leosphere 100S Microwave Radiometers Vertical temperature and moisture profiles up to 10 km AGL Selected Radiometrics MP-3000A Sun Photometer (MMR/SSI) Multi-scan Multi-channel Radiometer Shadowband Sky Imager Designed/built by Mesonet/ASRC 2017 8TH IWAQFR conference, Toronto, Canada

Enhanced station Output from Enhanced/Standard data: Complex process: Clear sky/cloud classification – sky condition Accurate radiation (spectral, direct/diffuse) Profiles: Temp., RH, wind, and aerosols PBL height, cloud base height, LCL Aerosols: AOD & profile, SSA, Angstrom coefficient Clouds: cloud fraction, COD, effective radius Forecast indices (CAPE, k, etc) Complex process: Characterize measurement, retrieval uncertainties Develop robust retrieval algorithms Products developed from synergistic retrieval/analysis approach (multiple sensors) 2017 8TH IWAQFR conference, Toronto, Canada

125 Sites Spaced ~19 miles apart Reports every 5 minutes 125 Standard Sites 20 Snow Sites 17 Enhanced Sites The NYS MESONET: Jerald Brotzge ,Christopher Thorncroft, and Everette Joseph 2017 8TH IWAQFR conference, Toronto, Canada

17 Enhanced Sites: ~ 4000 profiles per day vs. 3 Radiosondes: 6 profiles per day The NYS MESONET: Jerald Brotzge ,Christopher Thorncroft, and Everette Joseph 2017 8TH IWAQFR conference, Toronto, Canada

Outline Motivation NYS mesonet project PBL analysis system and preliminary results Dispersion application Summary and future work 2017 8TH IWAQFR conference, Toronto, Canada

Real-time PBL analysis system using multi-platform profile observations Profile Observations input: Derivation of PBL heights from the following observation data: Radiosondes, aircraft profiles, and NYS mesonet lidar profiles Analysis Profile observations Model guess Dispersion/air quality model application +1 hr Repeat as previous cycle Cycle N Cycle N+1 ASRC-NCEP real time PBL analysis system Boundary Layer Analysis Model guess input: Evaluation of model 1st guess used for RTMA (NCEP’s weather model output): NAM, RAP, and HRRR Analysis output: PBL heights are assimilated into Real-Time Mesoscale Analysis (RTMA), which uses the 2DVar option of the Grid- point Statistical Interpolation (GSI) analysis system Final product will be PBL height analysis (2.5 km resolution, hourly) Application to air quality/dispersion models with RTMA PBL analyses 2017 8TH IWAQFR conference, Toronto, Canada

Derivation of PBL height from observations Bulk Richardson Number (RIB) approach (Vogelezang and Holtslag, 1996) PBL height is defined as the level where the RIB exceeds the Richardson Critical Number (0.25) Modification on PBL height derivation based on RIB gradient ACARS data: u,v,t,and p from aircraft obs. and moisture fields from model guess 𝑅𝑖= 𝑔 𝜃 𝑣𝑠 ( 𝜃 𝑣ℎ − 𝜃 𝑣𝑠 )(ℎ− 𝑧 𝑠 ) ( 𝑢 ℎ − 𝑢 𝑠 ) 2 + ( 𝑣 ℎ − 𝑣 𝑠 ) 2 +𝑏 𝑢 ∗ 2 2017 8TH IWAQFR conference, Toronto, Canada

Derivation of PBL height from ACRAS data: PBLH with RI no. (0. 25) vs Derivation of PBL height from ACRAS data: PBLH with RI no. (0.25) vs. PBLH with modification at Albuquerque International Sunport Modified PBL height PBL height when exceeding RI no. 0.25 2017 8TH IWAQFR conference, Toronto, Canada

PBL height comparisons between obs PBL height comparisons between obs. (radiosonde and ACARS) and model (RAP) at Albany International Airport ACARS RAP model Radiosonde 2017 8TH IWAQFR conference, Toronto, Canada

PBL height comparisons between ACARS obs PBL height comparisons between ACARS obs. (modified PBL height) and RAP model Albany International Airport Denver International Airport Albuquerque International Sunport 2017 8TH IWAQFR conference, Toronto, Canada

PBL height comparison between ACARS obs PBL height comparison between ACARS obs. (modified PBL height) and NAM model from 4/27 to 4/28 in 2016 and Meteorological profiles at Denver International Airport 2017 8TH IWAQFR conference, Toronto, Canada

PBL height analysis on 4/27/2016 12Z using ACARS obs. and RAP model 2017 8TH IWAQFR conference, Toronto, Canada

PBL height analysis on 4/28/2016 12Z using ACARS obs. and RAP model 2017 8TH IWAQFR conference, Toronto, Canada

Outline Motivation NYS mesonet project PBL analysis system and preliminary results Dispersion application Summary and future work 2017 8TH IWAQFR conference, Toronto, Canada

Case run: event scenario and model configuration Harriman State Park fire event Based on local news, two fires in Harriman State Park broke out on Sunday, Nov/13/2016, the first around 2:30 pm and the second at 11:45 pm. http://www.lohud.com/story/news/local/rockland/2016/11/14/harriman-state- park-fires/93790612/ Location of Harriman State Park: Orange/Rockland counties, New York (41°14’N 74°06’W) Experimental test on forward trajectory and air mass concentration dispersion based on this event Trajectory and dispersion computed with HYSPLIT using WRF meteorology data: WRF met data generated: WRF version 3.7.1 15 km resolution grid Initial time: 12Z 11/13/2016 Due to lack of real data on plume rise, emission rate and how much particles released, we made an assumption for the modeling 2017 8TH IWAQFR conference, Toronto, Canada

200m AGL release point Surface to 5000m average, 1 hour average PM conc. from 20 Z to 21 Z, 11/13/2016 2017 8TH IWAQFR conference, Toronto, Canada

200m AGL release point Surface to 5000m average, 1 hour average PM conc. from 21 Z to 22 Z, 11/13/2016 2017 8TH IWAQFR conference, Toronto, Canada

200m AGL release point Surface to 5000m average, 1 hour average PM conc. from 22 Z to 23 Z, 11/13/2016 2017 8TH IWAQFR conference, Toronto, Canada

200m AGL release point Surface to 5000m average, 1 hour average PM conc. from 23 Z to 00 Z, 11/14/2016 2017 8TH IWAQFR conference, Toronto, Canada

200m AGL release point Surface to 5000m average, 1 hour average PM conc. from 00 Z to 01 Z, 11/14/2016 2017 8TH IWAQFR conference, Toronto, Canada

200m AGL release point Surface to 5000m average, 1 hour average PM conc. from 01 Z to 02 Z, 11/14/2016 2017 8TH IWAQFR conference, Toronto, Canada

200m AGL release point Surface to 5000m average, 1 hour average PM conc. from 02 Z to 03 Z, 11/14/2016 2017 8TH IWAQFR conference, Toronto, Canada

200m AGL release point Surface to 5000m average, 1 hour average PM conc. from 03 Z to 04 Z, 11/14/2016 2017 8TH IWAQFR conference, Toronto, Canada

Outline Motivation NYS mesonet project PBL analysis system and preliminary results Dispersion application Summary and future work 2017 8TH IWAQFR conference, Toronto, Canada

Summary and future Work PBL Capable of PBL height analysis with ACARS data Will incorporate PBL heights from mesonet profiles into RTMA PBL height analysis PBL height derivation is improved by considering RI number gradient This modification will be added to the PBL height derivation from obs. before the RTMA PBL height analysis Dispersion model PBL height analysis results will be used for dispersion modeling to see the impact on air mass dispersion 2017 8TH IWAQFR conference, Toronto, Canada

Thank you!