ACT-America: WRF-Chem Baseline Simulations for North America, 2016-2019
简介
该数据集包含 2016 年 6 月 29 日至 2019 年 7 月 31 日期间北美 WRF-Chem 模拟模型的每小时输出，分辨率为 27 公里。WRF-Chem 是天气研究与预报 (WRF) 模型与化学模型的结合。该输出提供了基准条件，用于与 2016 年至 2019 年期间开展的 ACT-America 空中观测活动的数据进行比较，该活动旨在研究大气中的二氧化碳和甲烷。WRF-Chem (v. 3.6.1) 模型由气象条件和海面温度驱动。输出包括 50 个垂直层，最高气压为 50 hPa，最低 1 公里处有 20 个层。它为理解二氧化碳 (CO2)、甲烷 (CH4) 和乙烷 (C2H6) 的通量和大气输送提供了信息。
美国国家航空航天局（NASA）大气碳与输送（ACT）-美国项目在美国东部三个地区开展了五次空中观测活动，以研究大气中二氧化碳（CO 2 ）和甲烷（CH 4 ）的输送和通量。每次为期六周的观测活动都测量了天气系统如何输送这些温室气体。这项研究的目的是更准确、更精确地估算这些气体的来源和汇。
摘要
Table 1. Variable names and descriptions. See documents provided at https://ruc.noaa.gov/wrf/wrf-chem/ for explanations of these 218 variables.
Variable Units Description
ACGRDFLX J m-2 accumulated ground heat flux
ACSNOM kg m-2 accumulated melted snow
ALBBCK 1 background albedo
ALBEDO 1 albedo
ALPHA_VPRM
ALT m3 kg-1 inverse density
AVGFLX_RUM Pa m s-1 hist-time-averaged mu-coupled u
AVGFLX_RVM Pa m s-1 hist-time-averaged mu-coupled v
AVGFLX_WWM Pa s-1 hist-time-averaged mu-coupled eta-dot
BIOMT_PAR g m-2 biomass termite per vegetation type
CANWAT kg m-2 canopy water
CF1 1 2nd order extrapolation constant
CF2 1 2nd order extrapolation constant
CF3 1 2nd order extrapolation constant
CFD1 kg m-2 s-1 average downdraft mass flux from gd-scheme
CFN 1 extrapolation constant
CFN1 1 extrapolation constant
CFU1 kg m-2 s-1 average updraft mass flux from gd-scheme
CLAT degree_north computational grid latitude
COSALPHA 1 local cosine of map rotation
COSZEN 1 cos of solar zenith angle
DFD1 kg m-2 s-1 average detrainment from downdraft from gd-scheme
DFU1 kg m-2 s-1 average detrainment from updraft from gd-scheme
DMS_0 nM l-1 dms oceanic concentrations
DN 1 d(eta) values between half (mass) levels
DNW 1 d(eta) values between full (w) levels
DZS m thicknesses of soil layers
E s-1 coriolis cosine latitude term
E_TRA1 mol km-2 h-1 Boundary tracer (zero)
E_TRA2 mol km-2 h-1 CT Miller fossil fuel emissions
E_TRA3 mol km-2 h-1 CT ODIAC fossil fuel emissions
E_TRA4 mol km-2 h-1 CT ocean fluxes
E_TRA5 mol km-2 h-1 CT fire emissions
E_TRA6 mol km-2 h-1 CT posterior biogenic fluxes
E_TRA7 mol km-2 h-1 CASA mean GPP
E_TRA8 mol km-2 h-1 CASA Para05 GPP
E_TRA9 mol km-2 h-1 CASA mean respiration
E_TRA10 mol km-2 h-1 CASA Para05 respiration
E_TRA11 mol km-2 h-1 SIB4 GPP
E_TRA12 mol km-2 h-1 SIB4 respiration
E_TRA13 mol km-2 h-1 EPA 2012 oil and gas
E_TRA14 mol km-2 h-1 EPA 2012 coal
E_TRA15 mol km-2 h-1 EPA 2012 enteric Fermentation and Manure management
E_TRA16 mol km-2 h-1 EPA 2012 landfills
E_TRA17 mol km-2 h-1 EPA 2012 other
E_TRA18 mol km-2 h-1 Anthropogenics outside US (Daniel Jacob Canada+Mexico for oil and gas, and EDGAR v. 4.3.2 for other)
E_TRA19 mol km-2 h-1 WetCHARTs V1.2 Extended ensemble (member 1913)
E_TRA20 mol km-2 h-1 WetCHARTs V1.2 Extended ensemble (member 1914)
E_TRA21 mol km-2 h-1 WetCHARTs V1.2 Extended ensemble (member 1923)
E_TRA22 mol km-2 h-1 CT-CH4 2010
E_TRA23 mol km-2 h-1 CMS-CH4-NAD (averaged monthly)
E_TRA24 mol km-2 h-1 EDGAR v4.3.2
E_TRA25 mol km-2 h-1 2010 C2H6 Global Emissions Inventory (Tzompa Sosa)
EFD1 kg m-2 s-1 average entrainment into downdraft from gd-scheme
EFU1 kg m-2 s-1 average entrainment into updraft from gd-scheme
EMISS 1 surface emissivity
EMIT_PAR 1
EROD none fraction of erodible surface in each grid cell (0-1)
F s-1 coriolis sine latitude term
FNM 1 upper weight for vertical stretching
FNP 1 lower weight for vertical stretching
GLW W m-2 downward long wave flux at ground surface
GRAUPELNC mm accumulated total grid scale graupel
GRDFLX W m-2 ground heat flux
GUST m s-1 gust at 10 m
HAILNC mm accumulated total grid scale hail
HFX W m-2 upward heat flux at the surface
HFX_FORCE W m-2 scm ideal surface sensible heat flux
HFX_FORCE_TEND W m-2 s-1 scm ideal surface sensible heat flux tendency
HGT m terrain height
ISLTYP dominant soil category
ITIMESTEP 1 I timestep
IVGTYP dominant vegetation category
LAI 1 leaf area index (m2 m-2)
LAI_VEGMASK 1 MODIS LAI vegetation mask for this date; 0=no dust produced (vegetation)
LAMBDA_VPRM
LANDMASK 1 land mask, 1=land
LH W m-2 latent heat flux at the surface
LH_FORCE W m-2 scm ideal surface latent heat flux
LH_FORCE_TEND W m-2 s-1 scm ideal surface latent heat flux tendency
LU_INDEX land use category
MAPFAC_M 1 map scale factor on mass grid
MAPFAC_MX 1 map scale factor on mass grid
MAPFAC_MY 1 map scale factor on mass grid
MAPFAC_U 1 map scale factor on u-grid
MAPFAC_UX 1 map scale factor on u-grid
MAPFAC_UY 1 map scale factor on u-grid
MAPFAC_V 1 map scale factor on v-grid
MAPFAC_VX 1 map scale factor on v-grid
MAPFAC_VY 1 map scale factor on v-grid
MAX_MSTFX 1 max map factor in domain
MAX_MSTFY 1 max map factor in domain
MF_VX_INV 1 inverse map scale factor on v-grid
MU Pa perturbation dry air mass in column
MUB Pa base state dry air mass in column
MUT
MUU
MUV
NEST_POS
NOAHRES W m-2 residual of the NOAH surface energy budget
OLR W m-2 TOA outgoing long wave
P Pa perturbation pressure
P_STRAT Pa base state pressure at bottom of stratosphere
P_TOP Pa pressure top of the model
P00 Pa base state pressure
PB Pa base state pressure
PBLH m pbl height
PH m2 s-2 perturbation geopotential
PHB m2 s-2 base-state geopotential
PREC_ACC_C mm accumulated cumulus precipitation over PREC_ACC_DT periods of time
PREC_ACC_NC mm accumulated grid scale precipitation over PREC_ACC_DT periods of time
PSFC Pa sfc pressure
Q2 kg kg-1 qv at 2 m
QCLOUD 1 cloud water mixing ratio (kg kg-1)
QFX kg m-2 s-1 upward moisture flux at the surface
QGRAUP 1 graupel mixing ratio (kg kg-1)
QICE 1 ice mixing ratio (kg kg-1)
QKE m2 s-2 twice TKE from mynn
QNICE kg-1 ice number concentration
QNRAIN kg-1 rain number concentration
QRAIN 1 rain water mixing ratio (kg kg-1)
QSNOW 1 snow mixing ratio (kg kg-1)
QVAPOR 1 water vapor mixing ratio (kg kg-1)
RAD_VPRM
RAINC mm accumulated total cumulus precipitation
RAINNC mm accumulated total grid scale precipitation
RAINSH mm accumulated shallow cumulus precipitation
RDN 1 inverse d(eta) values between half (mass) levels
RDNW 1 inverse d(eta) values between full (w) levels
RDX 1 inverse x grid length
RDY 1 inverse y grid length
RESM 1 time weight constant for small steps
RESP_VPRM
SAVE_TOPO_FROM_REAL flag flag, 1=original topo from real, 0=topo modified by WRF
SEAICE flag sea ice flag
SEED1 1 random seed number 1
SEED2 1 random seed number 2
SH2O 1 soil liquid water (m3 m-3)
SHDMAX 1 annual max veg fraction
SHDMIN 1 annual min veg fraction
SINALPHA 1 local sine of map rotation
SMCREL 1 relative soil moisture
SMOIS 1 soil moisture (m3 m-3)
SNOALB 1 annual max snow albedo in fraction
SNOW kg m-2 snow water equivalent
SNOW_ACC_NC mm accumulated snow water equivalent over prec_acc_dt periods of time
SNOWC flag flag indicating snow coverage, 1 = snow cover
SNOWH m physical snow depth
SNOWNC mm accumulated total grid scale snow and ice
SR 1 fraction of frozen precipitation
SST K sea surface temperature
SSTSK K skin sea surface temperature
SWDDIF W m-2 shortwave surface downward diffuse irradiance
SWDDIR W m-2 shortwave surface downward direct irradiance
SWDDNI W m-2 shortwave surface downward direct normal irradiance
SWDOWN W m-2 downward short wave flux at ground surface
SWNORM W m-2 normal short wave flux at ground surface (slope-dependent)
T K perturbation potential temperature (theta-t0)
T00 K base state temperature
T2 K temperature at 2 m
TH2 K pot temperature at 2 m
TISO K temp at which the base T turns const
TKE m2 s-2 turbulence kinetic energy
TKE_PBL m2 s-2 tke from pbl
TLP 1 base state lapse rate
TLP_STRAT K base state lapse rate (dt/d(ln(p)) in stratosphere
TMN K soil temperature at lower boundary
tracer_1 ppmv CO2 continental boundary inflow
tracer_2 ppmv CO2 signals due to CT Miller fossil fuel +300
tracer_3 ppmv CO2 signals due to CT ODIAC fossil fuel +300
tracer_4 ppmv CO2 signals due to CT ocean +300
tracer_5 ppmv CO2 signals due to CT fire +300
tracer_6 ppmv CO2 signals due to CT posterior biogenic +300
tracer_7 ppmv CO2 signals due to CASA mean GPP +300
tracer_8 ppmv CO2 signals due to CASA Para05 GPP +300
tracer_9 ppmv CO2 signals due to CASA mean respiration +300
tracer_10 ppmv CO2 signals due to CASA Para05 respiration +300
tracer_11 ppmv CO2 signals due to SIB4 GPP +300
tracer_12 ppmv CO2 signals due to SIB4 respiration +300
tracer_13 ppmv (CH4 enhancement due to EPA 2012 oil and gas) x 109 + 300
tracer_14 ppmv (CH4 enhancement due to EPA 2012 coal) x 109 + 300
tracer_15 ppmv (CH4 enhancement due to EPA 2012 enteric Fermentation and Manure management) x 109 + 300
tracer_16 ppmv (CH4 enhancement due to EPA 2012 landfills) x 109 + 300
tracer_17 ppmv (CH4 enhancement due to EPA 2012 other) x 109 + 300
tracer_18 ppmv (CH4 enhancement due to Anthropogenics outside US (Daniel Jacob Canada+Mexico for oil and gas, and EDGAR v4.3.2 for other) ) x 109 + 300
tracer_19 ppmv (CH4 enhancement due to WetCHARTs V1.2 Extended ensemble (member 1913) ) x 109 + 300
tracer_20 ppmv (CH4 enhancement due to WetCHARTs V1.2 Extended ensemble (member 1914) ) x 109 + 300
tracer_21 ppmv (CH4 enhancement due to WetCHARTs V1.2 Extended ensemble (member 1923) ) x 109 + 300
tracer_22 ppmv (CH4 enhancement due to CT-CH4 2010) x 109 + 300
tracer_23 ppmv (CH4 enhancement due to CMS-CH4-NAD (averaged monthly) ) x 109 + 300
tracer_24 ppmv (CH4 enhancement due to EDGAR v4.3.2) x 109 + 300
tracer_25 ppmv (C2H6 enhancement due to 2010 C2H6 Global Emissions Inventory (Tzompa Sosa) ) x 109 + 300
TSK K surface skin temperature
TSK_FORCE W m-2 scm ideal surface skin temperature
TSK_FORCE_TEND W m-2 s-1 scm ideal surface skin temperature tendency
TSLB K soil temperature
U m s-1 x-wind component
U10 m s-1 u at 10 m
UST m s-1 u* in similarity theory
UST_T m s-1 threshold friction velocity
V m s-1 y-wind component
V10 m s-1 v at 10 m
VAR 1 orographic variance
VAR_SSO m2 variance of subgrid-scale orography
VEGFRA 1 vegetation fraction
W m s-1 z-wind component
XLAND flag land mask, 1= land
XLAT degree_north latitude
XLAT_U degree_north latitude
XLAT_V degree_north latitude
XLONG degree_east longitude
XLONG_U degree_east longitude
XLONG_V degree_east longitude
XTIME min minutes since simulation start
ZETATOP 1 zeta at model top
ZNU 1 eta values on half (mass) levels
ZNW 1 eta values on full (w) levels
ZS m depths of centers of soil layers
代码
!pip install leafmap
!pip install pandas
!pip install folium
!pip install matplotlib
!pip install mapclassify
import pandas as pd
import leafmap
url = "https://github.com/opengeos/NASA-Earth-Data/raw/main/nasa_earth_data.tsv"
df = pd.read_csv(url, sep="\t")
df
leafmap.nasa_data_login()
results, gdf = leafmap.nasa_data_search(
short_name="ABoVE_ASCENDS_XCO2_2050",
cloud_hosted=True,
bounding_box=(-165.68, 34.59, -98.1, 71.28),
temporal=("2017-07-20", "2017-08-08"),
count=-1, # use -1 to return all datasets
return_gdf=True,
)
gdf.explore()
