NWP | MPAS | WRF| Albedo calculation
Albedo
- If you map data to the 24-category USGS data, then albedo will be given at the model start time, based on the LANDUSE.TBL. Since the initial value is dependent on the landuse type,
- however, the Noah LSM does not use the albedo (or any other land properties) from the LANDUSE.TBL. It uses values from the VEGPARM.TBL, and albedo is computed based on vegetation fraction, and bounded by the max and min values given in the VEGPARM.TBL.
- WRF
- The LANDUSE.TBL was used by all land surface model (LSM) options prior to Version 3.1.
- The VEGPARM.TBL is used by the Noah and RUC LSMs.
- The PX LSM uses data defined in module_sf_ssib.F.
- The model reads fields from LANDUSE.TBL first, but then may be overwritten by values in VEGPARM.TBL if there is an overlap.
LANDUSE.TBL
- https://github.com/wrf-model/WRF/blob/master/run/LANDUSE.TBL
- ALBD: Surface albedo
- SLMO: Surface moisture availability
- SFEM: Surface emissivity
- SFZO: Surface roughness
- THERIN: Surface thermal inertia
- SFHC: Soil heat capacity
VEGPARM.TBL
- https://github.com/yyr/wrf/blob/master/run/VEGPARM.TBL
- WRF/phys/module_sf_noahdrv.F
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22!-----SPECIFY VEGETATION RELATED CHARACTERISTICS :
! ALBBCK: SFC albedo (in percentage)
! Z0: Roughness length (m)
! SHDFAC: Green vegetation fraction (in percentage)
! Note: The ALBEDO, Z0, and SHDFAC values read from the following table
! ALBEDO, amd Z0 are specified in LAND-USE TABLE; and SHDFAC is
! the monthly green vegetation data
! CMXTBL: MAX CNPY Capacity (m)
! NROTBL: Rooting depth (layer)
! RSMIN: Mimimum stomatal resistance (s m-1)
! RSMAX: Max. stomatal resistance (s m-1)
! RGL: Parameters used in radiation stress function
! HS: Parameter used in vapor pressure deficit functio
! TOPT: Optimum transpiration air temperature. (K)
! CMCMAX: Maximum canopy water capacity
! CFACTR: Parameter used in the canopy inteception calculati
! SNUP: Threshold snow depth (in water equivalent m) that
! implies 100% snow cover
! LAI: Leaf area index (dimensionless)
! MAXALB: Upper bound on maximum albedo over deep snow
!
!-----READ IN VEGETAION PROPERTIES FROM VEGPARM.TBL
Description of MIN and MAX albedo
If you take a look in the WRF/run/VEGPARM.TBL file, you will see ALBEDOMIN and ALBEDOMAX, corresponding to each landuse type.
- The Noah LSM scheme reads this file, then calculates albedo based on the vegetation cover fraction, and the max/min albedo. For more details, you can see the file WRF/phys/module_sf_noahlsm.F.
usemonalb (monthly albedo)
- https://github.com/wrf-model/WRF/blob/eeacb821626feb34c62c3c1e169594d886d13adb/run/README.namelist#L998
- (recommended for sst_update=1)
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More,
- Modify landuse and GREENFRAC | Aug 25, 2020
- As GREENFRAC is a 12-monthly field from geogrid, during the real.exe process, it will be interpolated to the model start time, and stored in the array "vegfra." It will also be included in wrflowinp_d* since you are using sst_update. As for modifying other variables, I guess it depends whether you think those particular variables will be affected in the area of your modifications.
- ALBEDO12M isn't even actually used during real/wrf unless you set
usemonalb= .true.
in the namelist (it will be interpolated to "albbck" during real).
- monthly albedo | Feb 19, 2024
- You are right that albedo over the ocean is not updated even if sst_update =1.
- WRF中修改反照率
- wrf本身的 albedo是根据 Vtable定的,所以是不停变化的。首先要将albedo改为月的 albedo,方法是在 namelist.input 中的 &physics 中加入 usemonalb = .true.命令,然后就是利用ncl修改即可。在模式中单纯修改反照率,如果面积过大,就会造成地面平衡破坏太严重,模式易于崩溃。
- 如何在WRF中使用2020年(最新)土地利用类型数据集?
- WRF中土地利用类型最高分辨率是30s,且主要分为MODIS和USGS两种,其中MODIS数据是从2000年(有的也说是2001年)的MODIS卫星遥感数据,按照IGBP20分类标准得到的,总共有21类(含第21类—Lake),USGS数据则是1992~1993年的,总共分为24类,具体类型可以参考userguide,这些数据时间都比较久远了,如果进行最新模拟的话相差20年了,所以进行了替换。
Literature Review
- WRF模式東亞地區土地利用資料庫之更新與個案研究 | 交通部中央氣象署
- USGS-24 vs MODIS-20
- AAS:卫星产品改进WRF模式反照率方案极大提升了青藏高原降雪模拟能力 | 2022-04-21
- 地表反照率表征地面对太阳辐射的吸收和反射能力,是地表能量平衡的关键参数。青藏高原冬春季降雪频繁,地表反照率在降雪和随后的积雪演变过程中剧烈变化,对地表能量平衡和水循环有很大影响。
- 团队利用卫星遥感反演的反照率数据,综合考虑雪深和雪龄对反照率的影响,对Noah陆面过程模式中地表反照率方案进行青藏高原本地优化
- 模式采用改进的反照率方案显著降低青藏高原反照率的高估,显著提高 模拟反照率 与 卫星反演反照率 之间的相关性,改善了气温模拟的冷偏差,更准确模拟出强降雪的空间分布特征,并突破了Noah默认的反照率方案影响因子的局限性,为进一步改进反照率参数化方案提供参考,也为卫星遥感数据产品在数值模拟中的应用提供新视角。
- 陆云波, 王伦澈, 牛自耕, 王绍强, 王力哲. 2000—2017年中国区域地表反照率变化及其影响因子[J]. 地理研究, 2022, 41(2): 562-579 https://doi.org/10.11821/dlyj020210005
- 高婷, 沈润平, 李磊, 等. 2021. 基于MODIS数据地表反照率时空变化特征及影响因子研究[J]. 气候与环境研究, 26(6): 648−662. DOI: 10.3878/j.issn.1006-9585.2021.20160
- 淮河流域地表反照率与归一化植被指数(Normalized Difference Vegetation Index,NDVI)、地表温度、气温和降水在大部分区域呈正相关
WRFDA, CRTM
WRFDA observation operator H uses a radiative transfer model (e.g., CRTM or RTTOV) to compute brightness temperatures from model profiles of temperature, humidity, and surface properties like surface emissivity.
The CRTM surface model includes surface emissivity/reflectivity for various surface types, including snow, ice, land, and water/ocean.
MPAS
Noah LSM
The Noah LSM does not use the albedo (or any other land properties) from the LANDUSE.TBL. It uses values from the VEGPARM.TBL, and albedo is computed based on vegetation fraction, and bounded by the max and min values given in the VEGPARM.TBL.
for climatologically varying surface albedo
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NWP | MPAS | WRF| Albedo calculation
https://waipangsze.github.io/2025/05/09/NWP-MPAS-WRF-Albedo-calculation/