ARMBE
ARM Best Estimate Data Products
Baseline VAP, Evaluation VAP
This data product, formerly known as the Climate Modeling Best Estimate (CMBE) data set, assembles a best estimate of cloud, radiation, and atmospheric quantities, and surface/land properties that are both well observed by ARM and commonly used in model evaluation into one single data set. For over two decades, most of these quantities have been measured by ARM ground-based instruments, including cloud radars, micropulse lidars (MPLs), laser ceilometers, microwave radiometers (MWRs), and solar and infrared radiation stations (SIRSs).
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The ARMBE data product is specifically tailored to climate modelers for use in the evaluation of earth system models, with hourly temporal resolution comparable to a typical resolution used in climate model output. It also includes standard deviations within the averaged hour and quality control flags for the selected quantities to indicate the temporal variability and data quality.
ARMBE provides detailed observations of clouds and their associated large-scale environment in different climate regimes and is widely applied in process studies to improve cloud parameterization in climate models. Additionally, the long-term ARMBE data set of cloud observations from ground-based radars and lidars, with hourly resolution and high vertical resolution, makes it a great fit to examine climate variability and change, as well as to statistically evaluate climate models. The ARMBE data product also serves as input to many ARM value-added products (VAPs), such as ARM Diagnostics for Climate Model Evaluation (ADCME) and the large-scale forcing data from constrained variational analysis (VARANAL).
The ARMBE data product includes ARMBEATM and ARMBECLDRAD. ARMBEATM contains basic atmospheric quantities, and ARMBECLDRAD provides cloud and radiation quantities.
ARMBE represents single-point measurements. Statistics are recommended for comparison with climate model output, which often represents a grid-box mean of 100 kilometers. In addition, although stringent quality control checks are applied, ARMBE still experiences most data quality issues in the VAPs that are used to produce ARMBE. These include Active Remote Sensing of CLouds (ARSCL), Data Quality Assessment for ARM Radiation Data (QCRAD), and Microwave Radiometer Retrievals (MWRRET).
Primary Derived Measurements
- Atmospheric moisture
- Atmospheric pressure
- Atmospheric temperature
- Atmospheric turbulence
- Cloud fraction
- Cloud top height
- Carbon dioxide (CO2) concentration
- Carbon dioxide (CO2) flux
- Horizontal wind
- Longwave broadband downwelling irradiance
- Longwave broadband net irradiance
- Longwave broadband upwelling irradiance
- Shortwave broadband diffuse downwelling irradiance
- Shortwave broadband direct downwelling irradiance
- Shortwave broadband total downwelling irradiance
- Shortwave broadband total net irradiance
- Shortwave broadband total upwelling irradiance
- Latent heat flux
- Liquid water path
- Photosynthetically Active Radiation
- Precipitation
- Precipitable water
- Sensible heat flux
- Soil heat flux
- Soil moisture
- Soil temperature
- Vertical velocity
Contact
View all contacts-
Shaocheng XieTranslator Lawrence Livermore National Laboratory
Related Data Announcements
References
View all references- Xie et al. "ARM Climate Modeling Best Estimate Data - A new data product for climate studies". 2010. 10.1175/2009bams2891.1.
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