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At least 19 records

Joint retrievals of cloud and drizzle in marine boundary layer clouds using ground-based radar, lidar and zenith radiances

Active remote sensing of marine boundary-layer clouds is challenging as drizzle drops often dominate the observed radar reflectivity. We present a new method to simultaneously retrieve cloud and drizzle vertical profiles in drizzling boundary-layer clouds using surface-based observations of radar reflectivity, lidar attenuated backscatter, and zenith radiances under conditions when precipitation does not reach the surface. Specifically, the vertical structure of droplet size and water content of both cloud and drizzle is characterised throughout the cloud. An ensemble optimal estimation approach provides full error statistics given the uncertainty in the observations. To evaluate the new method, we first perform retrievals using synthetic measurements from large-eddy simulation snapshots of cumulus under stratocumulus, where cloud water path is retrieved with an error of 31 g m -2 . The method also performs well in non-drizzling clouds where no assumption of the cloud profile is required. We then apply the method to observations of marine stratocumulus obtained during the Atmospheric Radiation Measurement MAGIC deployment in the Northeast Pacific. Here, retrieved cloud water path agrees well with independent three-channel microwave radiometer retrievals, with a root mean square difference of 10–20 g m -2 .

54 ENVIRONMENTAL SCIENCES↗

Use of the ARM Measurements of Spectral Zenith Radiance for Better Understanding of 3D Cloud-Radiation Processes & Aerosol-Cloud Interaction

We proposed a variety of tasks centered on the following question: what can we learn about 3D cloud-radiation processes and aerosol-cloud interaction from rapid-sampling ARM measurements of spectral zenith radiance? These ARM measurements offer spectacular new and largely unexploited capabilities in both the temporal and spectral domains. Unlike most other ARM instruments, which average over many seconds or take samples many seconds apart, the new spectral zenith radiance measurements are fast enough to resolve natural time scales of cloud change and cloud boundaries as well as the transition zone between cloudy and clear areas. In the case of the shortwave spectrometer, the measurements offer high time resolution and high spectral resolution, allowing new discovery-oriented science which we intend to pursue vigorously. Research objectives are, for convenience, grouped under three themes: • Understand radiative signature of the transition zone between cloud-free and cloudy areas using data from ARM shortwave radiometers, which has major climatic consequences in both aerosol direct and indirect effect studies. • Provide cloud property retrievals from the ARM sites and the ARM Mobile Facility for studies of aerosol-cloud interactions. • Assess impact of 3D cloud structures on aerosol properties using passive and active remote sensing techniques from both ARM and satellite measurements.

54 ENVIRONMENTAL SCIENCES↗

Shortwave Spectrometer (SWS) zenith radiance swsrad.b1 v3 and higher

Hyperspectral zenith radiances from the SWS instrument reported at 1 Hz. This data stream contains calibrated, dark-subtracted, radiances from two grating array spectrometers: a Si-detector based spectrometer denoted by SW and an InGaAs based detector denoted by LW. Spectra from both spectrometers are calibrated based on the spectral responsivity determined by reference against NIST-traceable light sources are reported independently as separate arrays having the same time record but wavelength dimension specified for each detector. Because the LW spectrometer is more susceptible to temperature-induced changes, a scale factor adjustment is applied the the LW spectra to yield agreement with the SW spectra over the wavelength range where they overlap. The final radiances incorporate QC to flag saturated values, periods where house-keeping fields fall outside acceptable bounds, and to flag pixels for which the spectral responsivity is not acceptable.

54 ENVIRONMENTAL SCIENCES↗

Use of the ARM Measurements of Spectral Zenith Radiance for Better Understanding of 3D Cloud-Radiation Processes & Aerosol-Cloud Interaction

Main results are summarized for work in these areas: spectrally-invariant approximation within atmospheric radiative transfer; spectral invariance of single scattering albedo for water droplets and ice crystals at weakly absorbing wavelengths; seasonal changes in leaf area of Amazon forests from leaf flushing and abscission; and Cloud droplet size and liquid water path retrievals from zenith radiance measurements.

54 ENVIRONMENTAL SCIENCES↗

Cloud optical depth and liquid effective radius retrievals from SPHOT zenith radiances

A new three-channel (440, 870, and 1640 nm) retrieval algorithm for cloud optical depth has recently been developed by Christine Chiu and her co-workers [Chiu et al., 2012]. This VAP is to implement the three-channel cloud optical depth retrieval algorithm as an ARM operational VAP. First, simultaneously retrieved cloud optical depth and effective radius datasets will be generated by using the pre-calibrated zenith radiance measurements taken from the ARM Sun-Photometer (SPHOT) and the NASA AERONET and Satellite-based surface albedo derived from MODSI. Finally, the algorithm produces uncertainties along with the retrieval products. This VAP outputs a daily NetCDF file.

54 ENVIRONMENTAL SCIENCES↗

Use of the ARM Measurements of Spectral Zenith Radiance for Better Understanding of 3D Cloud-Radiation Processes & Aerosol-Cloud Interaction

This project focuses on cloud-radiation processes in a general three-dimensional cloud situation, with particular emphasis on cloud optical depth and effective particle size. The proposal has two main parts. Part one exploits the large number of new wavelengths offered by the Atmospheric Radiation Measurement (ARM) zenith-pointing ShortWave Spectrometer (SWS), to develop better retrievals not only of cloud optical depth but also of cloud particle size. We also take advantage of the SWS’ high sampling resolution to study the “twilight zone” around clouds where strong aerosol-cloud interactions are taking place. Part two involves continuing our cloud optical depth and cloud fraction retrieval research with ARM’s 2-channel narrow field-of-view radiometer and sunphotometer instrument by, first, analyzing its data from the ARM Mobile Facility deployments, and second, making our algorithms part of ARM’s operational data processing.

54 ENVIRONMENTAL SCIENCES↗

MAGIC Cloud Properties from Zenith Radiance Data Final Campaign Summary

Cloud droplet size and optical depth are the most fundamental properties for understanding cloud formation, dissipation and interactions with aerosol and drizzle. They are also a crucial determinant of Earth’s radiative and water-energy balances. However, these properties are poorly predicted in climate models. As a result, the response of clouds to climate change is one of the major sources of uncertainty in climate prediction.

47 OTHER INSTRUMENTATION↗

High-resolution photography of clouds from the surface: Retrieval of optical depth of thin clouds down to centimeter scales: High-Resolution Photography of Clouds

This article describes the approach and presents initial results, for a period of several minutes in north central Oklahoma, of an examination of clouds by high resolution digital photography from the surface looking vertically upward. A commercially available camera having 35-mm equivalent focal length up to 1200 mm (nominal resolution as fine as 6 µrad, which corresponds to 9 mm for cloud height 1.5 km) is used to obtain a measure of zenith radiance of a 30 m × 30 m domain as a two-dimensional image consisting of 3456 × 3456 pixels (12 million pixels). Downwelling zenith radiance varies substantially within single images and between successive images obtained at 4-s intervals. Variation in zenith radiance found on scales down to about 10 cm is attributed to variation in cloud optical depth (COD). Attention here is directed primarily to optically thin clouds, COD less than about 2. A radiation transfer model used to relate downwelling zenith radiance to COD and to relate the counts in the camera image to zenith radiance, permits determination of COD on a pixel-by-pixel basis. COD for thin clouds determined in this way exhibits considerable variation, for example, an order of magnitude within 15 m, a factor of 2 within 4 m, and 25% (0.12 to 0.15) over 14 cm. In conclusion, this approach, which examines cloud structure on scales 3 to 5 orders of magnitude finer than satellite products, opens new avenues for examination of cloud structure and evolution.

54 ENVIRONMENTAL SCIENCES↗

DACCIWA Cloud-Aerosol Observations in West Africa Field Campaign Report

Interactions between aerosols and clouds, and their effects on radiation, precipitation, and regional circulations, are one of the largest uncertainties in understanding climate. With reducing uncertainties in predictions of weather, climate, and climate impacts in mind, the Dynamics-Aerosol-Chemistry-Cloud Interactions in West Africa (DACCIWA) project, funded by the European Commission, set out to improve our understanding of cloud-aerosol interactions in southern West Africa. This region is ideal for studying cloud-aerosol interactions because of its rich mix of natural and anthropogenic aerosols and diverse clouds, and because of the strong dependence on the regional and global climate of the sensitive West African monsoon. The overview of DACCIWA is described in Knippertz et al. 2015. The interdisciplinary DACCIWA team includes not only several European and African universities, but also Met Centres in the UK, France, Germany, Switzerland, Benin, Ghana, and Nigeria. One of the crucial research activities in DACCIWA is the major field campaign in southern West Africa from June to July 2016, comprising a benchmark data set for assessing detailed processes on natural and anthropogenic emissions; atmospheric composition; air pollution and its impacts on human and ecosystem health; boundary layer processes; couplings between aerosols, clouds, and rainfall; weather systems; radiation; and the monsoon circulation. Details and highlights of the campaign can be found in Flamant et al. 2017. To provide aerosol/cloud microphysical and optical properties that are essential for model evaluations and for the linkage between ground-based, airborne, and spaceborne observations, the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility loaned two sun photometers to the DACCWIA team for the campaign from June 8 to July 29, 2016. The first sun photometer was deployed at Kumasi, Ghana (6.67962°N, 1.56019°W) by the University of Leeds (UK). The instrument was supposed to operate in normal aerosol mode in clear-sky conditions for aerosol monitoring, and operate in cloud mode for measuring cloud properties when clouds block the sun. Unfortunately, the robot of the sun photometer did not work properly from the beginning of the deployment, and remained problematic throughout the campaign. No useful data was recovered. The second sun photometer was deployed at Savé, Benin (8.000842°N, 2.413115°E), set up and maintained by the Karlsruher Institut fuer Technologie, Germany. Unlike most sun photometers that are designed to monitor aerosol properties and thus operated in normal aerosol mode, this sun photometer at Savé was operated in a special cloud mode, pointing vertically and measuring zenith radiance continuously at wavelengths of 440, 500, 675, 870, 1020, and 1640 nm with 10-sec temporal resolution. Zenith radiances at 440, 870, and 1640 nm alone can be used to retrieve cloud optical depth and column-mean effective radius (Chiu et al. 2010, 2012). The following section takes 6 and 7 July as an example to highlight a typical diurnal cycle of clouds observed during the campaign. Cloud properties retrieved from zenith radiance are compared against those retrieved from microwave radiometer (MWR) measurements, and against in situ measurements collected from the Twin Otter aircraft.

54 ENVIRONMENTAL SCIENCES↗

Cloud optical and microphysical properties derived from ground-based and satellite sensors over a site in the Yangtze Delta region: CLOUD PROPERTIES IN EASTERN CHINA

Comprehensive surface - based retrievals of cloud optical and microphysical properties were made at Taihu, a highly polluted site in central Yangtze Delta region, during a research campaign from May 2008 to December 2009. C loud optical depth (COD) , effective radius (R e ) and liquid water path (LWP) were retrieved from measurements made with a suite of ground - based and space - borne instruments, including an Analytical Spectral Devices (ASD) spectroradiometer , a Multi - Filter Rotating Shadowband R adiometer (MFRSR) , a Multichannel Microwave Radiometer Profiler (MWRP), and the Moderate Resolution Imaging Spectroradiometer ( MODIS) on Terra and Aqua satellites . Retrievals from zenith radiance measurements capture better the temporal variation of cloud properties than do retrievals from hemispherical fluxes . Annual mean LWP, COD and R e are 115.8 ± 90.8 g/m 2 , 28.5 ± 19.2, and 6.9 ± 4.2 μ m . Over 90% of LWP is less than 250 g/m 2 . Most of COD (>90%) fall s between 5 and 60 and ~ 80% of R e is less than 10 μ m . Maximum ( minimum ) values of LWP and R e occur in summer ( winter ); COD is highest in winter and spring. R aining and non - raining clouds have significant difference s in LWP, COD and R e . R ainfall frequency i s best correlated with LWP, followed by COD and R e . Cloud properties retrieved from multiple ground - based instruments are also compared with those from satellite retrievals. On average, relative to surface retrievals, mean differences of satellite retrievals in cloud LWP, COD and R e were - 33.6 g/m 2 ( - 26.4%), - 5.8 ( - 31.4%), and 2.9 μ m (29.3% ) for 11 MODIS - Terra overpasses , and - 43.3 g/m 2 ( - 2 2.3 %), - 3.0 ( - 10.0 %) and - 1.3 μ m ( - 12.0 %) for 8 MODIS - Aqua 40 overpasses, respectively. These discrep ancies indicate that MODIS cloud products still suffer 41 from large uncertainties in this region

Liu, Jianjun↗

Infrared Cloud Imager Instrument Intercomparison Report

The Infrared Cloud Imager Instrument Intercomparison was a guest instrument deployment by NWB Sensors to the U.S. Department of Energy’s Atmospheric Radiation Measurement (ARM) User Facility observatory on the Southern Great Plains (SGP) between May 18 and December 12, 2023. NWB Sensors is a company that has developed a commercially available infrared cloud imager (ICI). The ICI provides radiometrically calibrated, full-sky images of the downwelling infrared radiance in the 7.3-14 µm band. In addition, it provides cloud radiance as the residual between the observed radiance and the modeled cloud-free radiance as well as derived cloud products. The instrument is used in applications that require consistent detection of clouds across day and night. For more information, consult the instrument's webpage. The primary goal of the deployment was to validate the radiometric accuracy of the ICI. The ICI uses a proprietary calibration method to convert the raw data from its infrared camera into downwelling radiance. Unlike similar instruments, the system does not have an onboard blackbody calibration standard. Instead, NWB Sensors characterizes each ICI camera individually in an environmental chamber while looking at a blackbody standard. The resulting (proprietary) calibration is used operationally in the instrument and has been demonstrated to be stable over long periods. To validate the radiometric products from the ICI, an intercomparison between the ICI data products and those from ARM’s atmospheric emitted radiance interferometer (AERI) was made. The AERI is a best-in-class instrument for measuring downwelling infrared radiance (Gero et al. 2025). A weighted integration of the AERI’s spectral radiances across the ICI’s camera response was performed. The resulting radiance (herein called the AERI radiance) was directly compared to the zenith radiance concurrently observed by the ICI. The results of these comparisons are reported in the next section of this report.

54 ENVIRONMENTAL SCIENCES↗

NWB Sensors Infrared Cloud Imager Data Products from SGP

NWB Sensors is a company which has developed a commercially available Infrared Cloud Imager (ICI). For more information, consult the company's webpage, https://www.nwbsensors.com/infrared-cloud-imager. To validate the radiometric accuracy of the ICI, NWB Sensors deployed it to the ARM SGP User Facility in 2023. The primary motivation of this deployment was to perform an intercomparison between the ICI and the Atmospheric Emitted Radiance Interferometer (AERI). The AERI spectral radiance data product can be integrated across the response function of the ICI and directly compared to the zenith radiance observed by the ICI. In addition, the ICI uses proprietary models of the downwelling clear-sky radiance in its cloud processing algorithms. They are based on surface meteorology and precipitable water vapor (PWV). These models were validated by comparing their predicted radiances to those derived from radiative transfer models of the ARM radiosondes. Finally, PWV observations derived from the ICI's onboard GNSS-based PWV retrieval system were compared against those from the microwave radiometer. This dataset contains the ICI radiance and cloud data products.

Atmosphere↗

Evaluating the World Infrared Standard Group Field Campaign Report

The standard to which broadband infrared irradiance radiometers (pyrgeometers) are compared is called the World Infrared Standard Group (WISG), maintained in Davos, Switzerland, at the World Radiation Center. WISG consists of four pyrgeometers that were calibrated using the absolute sky-scanning radiometer (ASR; Philipona 2001). The U.S. Department of Energy (DOE)’s Atmospheric Radiation Measurement (ARM) user facility has recently adopted this as its standard and all Eppley precision infrared radiometer (PIR) pyrgeometers in ARM are currently being calibrated by transfer calibrations from WISG. Subsequently, the ASR has fallen out of operation, Julian Gröbner (2012) developed the infrared integrating sphere (IRIS) radiometer, and Ibrahim Reda (2012) developed the absolute cavity pyrgeometer (ACP). The IRIS and ACP make absolute measurements of broadband downwelling infrared irradiance using different approaches. These two instruments have been compared to each other and to the WISG (Gröbner et al. 2014). The two newer instruments agreed within about 1 Wm-2 with each other, but not with the WISG, which was 2-5 Wm-2 lower depending on the column water vapor loading. Consequently, a case for changing the current WISG has been made by Gröbner and Reda, basing their suggestion on a total of nine hours of simultaneous IRIS and ACP comparison data as well as data from 177 clear-sky nights between the IRIS and WISG radiometers from October 2009 to December 2013 (Gröbner et al. 2014). These findings were later confirmed during the second International Pyrgeometer Comparison (IPgC-II) held in September/October 2015 at Physikalisch-Meteorologisches Observatorium Davos (PMOD)/World Radiation Center (WRC), bringing the total to about 20 hours of simultaneous ACP and IRIS measurements spread across two years and five days, in the mountainous environment of Davos. For this campaign, the WISG evaluation team deployed several instruments for absolute infrared radiation measurements and pyrgeometers that have been tied to the original standard (ASR) to ARM’s Southern Great Plains (SGP) atmospheric observatory in the fall of 2017. The experiment was carried out in two phases in order to increase the probability of collecting measurements at a range of water vapor column values, to which the measurements have shown some dependence. Phase 1 of the deployment ran from October 15 to 28, and Phase 2 ran from November 26 to December 9. Four redundant IRIS and two redundant ACP made coincident measurements during this time (the ASR no longer being available for comparison). The link to the WISG was provided by two pyrgeometers calibrated relative to the WISG prior to the campaign at SGP and also measuring coincidently with the two absolute radiometers. In addition, three of the original pyrgeometers directly tied to the original ASR were deployed. (See Figure 1 for instrument setup.) The experiment took place in the fall when water vapor columns were expected to range below and above the 1-cm level that is crucial for ferreting out the water vapor dependence of these measurements that has been noted in Gröbner et al. 2014 and other measurements. An additional source of longwave radiation flux observations was provided by the atmospheric emitted radiance interferometer (AERI). The AERI measures downwelling spectral radiance from 3.3 to 19 μm with a calibration that is better than 1% of the ambient radiance (Knuteson et al. 2004), and so serves as a potential source of evaluation for the WISG. The AERI’s field of view is 2 degrees, and is directed towards zenith. Earlier ARM projects led by Tony Clough as part of the Broadband Heating Rate Profile (BBHRP) effort demonstrated how to derive longwave flux from these zenith radiance observations.

AERI, instrument calibration, Southern Great Plain↗

saszefilterbands

ARM Instrument: Shortwave Array Spectroradiometer-Zenith

54 ENVIRONMENTAL SCIENCES↗