CLOUDS AND MORE: ARM Climate Modeling Best Estimate Data

Xie, Shaocheng; McCoy, Renata; Klein, Stephen A.; Cederwall, R.T.; Wiscombe, W. J.; Clothiaux, Eugene E.; Gaustad, Krista; Golaz, Jean‐Christophe; Hall, Stephanie D.; Jensen, Michael P.; Johnson, Karen; Wang, Danyang; Long, Charles; Mather, J. H.; McCord, R.A.; McFarlane, Sally A.; Palanisamy, Giri; Shi, Yan; Turner, David D.

doi:10.1175/2009bams2891.1

Cited by 151 publications

(134 citation statements)

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“…Therefore, we used 3 years of long-term data (from 2008 to 2010) in this paper to alleviate that bias. Wind velocity from the ARM Best Estimate data product [Xie et al, 2010], with vertical resolution 45 m and 6 h temporal interval, is then integrated respectively at each vertical level to calculate what distance the cloud field has flowed over. This transformation converts the temporal variation into spatial distribution.…”

Section: Data and Modelmentioning

confidence: 99%

Scale‐aware parameterization of liquid cloud inhomogeneity and its impact on simulated climate in CESM

Xie

Zhang

2015

JGR Atmospheres

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Using long-term radar-based ground measurements from the Atmospheric Radiation Measurement Program, we derive the inhomogeneity of cloud liquid water as represented by the shape parameter of a gamma distribution. The relationship between the inhomogeneity and the model grid size as well as atmospheric condition is presented. A larger grid scale and more unstable atmosphere are associated with larger inhomogeneity that is described by a smaller shape parameter. This relationship is implemented as a scale-aware parameterization of the liquid cloud inhomogeneity in the Community Earth System Model (CESM) in which the shape parameter impacts the cloud microphysical processes. When used in the default CESM1 with the finite-volume dynamic core where a constant liquid inhomogeneity parameter was assumed, it reduces the cloud inhomogeneity in high latitudes and increases it in low latitudes. This is due to both the smaller (larger) grid size in high (low) latitudes in the longitude-latitude grid setting of CESM and the more stable (unstable) atmosphere. The single-column model and general circulation model sensitivity experiments show that the new parameterization increases the cloud liquid water path in polar regions and decreases it in low latitudes. An advantage of the parameterization is that it can recognize the spatial resolutions of the CESM without special tuning of the cloud water inhomogeneity parameter.

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Section: Data and Modelmentioning

confidence: 99%

Scale‐aware parameterization of liquid cloud inhomogeneity and its impact on simulated climate in CESM

Xie

Zhang

2015

JGR Atmospheres

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“…Atmospheric Radiation Measurement Program (ARM) Climate Research Facility (ACRF) radiosonde and micro pulse lidar (MPL) observations (Xie et al, 2010;Mather and Voyles, 2013) were used to investigate the boundary layer aerosol structure and to develop new lidar-based methods to determine the BLH over different surfaces. The Nauru (marine site, 2007-2008) and Southern Great Plains (continental site, 2007-2009) sites were selected to represent typical ocean and land conditions.…”

Section: Ground-based Datamentioning

confidence: 99%

Lidar-based remote sensing of atmospheric boundary layer height over land and ocean

2014

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Abstract. Atmospheric boundary layer (ABL) processes are important in climate, weather and air quality. A better understanding of the structure and the behavior of the ABL is required for understanding and modeling of the chemistry and dynamics of the atmosphere on all scales. Based on the systematic variations of the ABL structures over different surfaces, different lidar-based methods were developed and evaluated to determine the boundary layer height and mixing layer height over land and ocean. With Atmospheric Radiation Measurement Program (ARM) Climate Research Facility (ACRF) micropulse lidar (MPL) and radiosonde measurements, diurnal and season cycles of atmospheric boundary layer depth and the ABL vertical structure over ocean and land are analyzed. The new methods are then applied to satellite lidar measurements. The aerosol-derived global marine boundary layer heights are evaluated with marine ABL stratiform cloud top heights and results show a good agreement between them.

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“…Homogenization has been performed for ARM observatories leading to the ARMBE (ARM Best Estimate) data product (Xie et al, 2010), which is the "ARM data streams specifically tailored to climate modelers for use in the evaluation of global climate models. They contain a best estimate of several cloud, radiation and atmospheric quantities.…”

Section: Introductionmentioning

confidence: 99%

ReOBS: a new approach to synthesize long-term multi-variable dataset and application to the SIRTA supersite

Chiriaco

Dupont

Badosa

et al. 2018

Earth Syst. Sci. Data

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Abstract.A scientific approach is presented to aggregate and harmonize a set of 60 geophysical variables at hourly timescale over a decade, and to allow multiannual and multi-variable studies combining atmospheric dynamics and thermodynamics, radiation, clouds and aerosols from ground-based observations. Many datasets from ground-based observations are currently in use worldwide. They are very valuable because they contain complete and precise information due to their spatio-temporal co-localization over more than a decade. These datasets, in particular the synergy between different type of observations, are under-used because of their complexity and diversity due to calibration, quality control, treatment, format, temporal averaging, metadata, etc. Two main results are presented in this article: (1) a set of methods available for the community to robustly and reliably process ground-based data at an hourly timescale over a decade is described and (2) a single netCDF file is provided based on the SIRTA supersite observations. This file contains approximately 60 geophysical variables (atmospheric and in ground) hourly averaged over a decade for the longest variables. The netCDF file is available and easy to use for the community. In this article, observations are "re-analyzed". The prefix "re" refers to six main steps: calibration, quality control, treatment, hourly averaging, homogenization of the formats and associated metadata, as well as expertise on more than a decade of observations. In contrast, previous studies (i) took only some of these six steps into account for each variable, (ii) did not aggregate all variables together in a single file and (iii) did not offer an hourly resolution for about 60 variables over a decade (for the longest variables). The approach described in this article can be applied to different supersites and to additional variables. The main implication of this work is that complex atmospheric observations are made readily available for scientists who are non-experts in measurements. The dataset from SIRTA observations can be downloaded at http://sirta.ipsl.fr/reobs.html (last access: April 2017) (Downloads tab, no password required) under https://doi

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CLOUDS AND MORE: ARM Climate Modeling Best Estimate Data

Abstract: gauStad, long, MatheR, McfaRl ane, and Shi-Pacific northwest national laboratory, Richland, Washington; golaz and lin-noAA geophysical Fluid dynamics laboratory, Princeton, new Jersey; JenSen, JohnSon, and wiScoMbe-Brookhaven national laboratory,

Cited by 151 publications

References 0 publications

Scale‐aware parameterization of liquid cloud inhomogeneity and its impact on simulated climate in CESM

Scale‐aware parameterization of liquid cloud inhomogeneity and its impact on simulated climate in CESM

Lidar-based remote sensing of atmospheric boundary layer height over land and ocean

ReOBS: a new approach to synthesize long-term multi-variable dataset and application to the SIRTA supersite

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