Evaluating cloud microphysics from NICAM against CloudSat and CALIPSO

Hashino, Tempei; Satoh, Masaki; Hagihara, Yoshihiro; Kubota, Takuji; Matsui, Toshihisa; Nasuno, Tomoe; Okamoto, Hajime

doi:10.1002/jgrd.50564

Cited by 93 publications

(121 citation statements)

References 54 publications

(98 reference statements)

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“…The results should be interpreted with this in mind. For a more detailed, cloud microphysics-oriented comparison, we direct the reader to Suzuki et al (2011) and Hashino et al (2013).…”

Section: Validationmentioning

confidence: 99%

Performance assessment of a triple-frequency spaceborne cloud–precipitation radar concept using a global cloud-resolving model

et al. 2015

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Abstract. Multi-frequency radars offer enhanced detection of clouds and precipitation compared to single-frequency systems, and are able to make more accurate retrievals when several frequencies are available simultaneously. An evaluation of a spaceborne three-frequency Ku-/Ka-/W-band radar system is presented in this study, based on modeling radar reflectivities from the results of a global cloud-resolving model with a 875 m grid spacing. To produce the reflectivities, a scattering model has been developed for each of the hydrometeor types produced by the model, as well as for melting snow. The effects of attenuation and multiple scattering on the radar signal are modeled using a radiative transfer model, while nonuniform beam filling is reproduced with spatial averaging. The combined effects of these are then quantified both globally and in six localized case studies. Two different orbital scenarios using the same radar are compared. Overall, based on the results, it is expected that the proposed radar would detect a high-quality signal in most clouds and precipitation. The main exceptions are the thinnest clouds that are below the detection threshold of the W-band channel, and at the opposite end of the scale, heavy convective rainfall where a combination of attenuation, multiple scattering and nonuniform beam filling commonly cause significant deterioration of the signal; thus, while the latter can be generally detected, the quality of the retrievals is likely to be degraded.

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“…The results should be interpreted with this in mind. For a more detailed, cloud microphysics-oriented comparison, we direct the reader to Suzuki et al (2011) and Hashino et al (2013).…”

Section: Validationmentioning

confidence: 99%

Performance assessment of a triple-frequency spaceborne cloud–precipitation radar concept using a global cloud-resolving model

et al. 2015

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“…Such individual simulations are currently short (<1 year), have only a minimal number of Earth system processes included, and challenge our observational abilities, owing to the limited time and space sampling from satellites. However, they can be used to gain insights into poorly understood interactions (such as aerosolmicrophysics-cloud interactions; e.g., Hashino et al 2013). Such models are also generally nonhydrostatic and hence able to better represent organized convective processes and small-scale structures in, for example, tropical cyclones.…”

mentioning

confidence: 99%

The Benefits of Global High Resolution for Climate Simulation: Process Understanding and the Enabling of Stakeholder Decisions at the Regional Scale

Roberts

Vidale

Senior

et al. 2018

Bulletin of the American Meteorological Society

123

107

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The time scales of the Paris Climate Agreement indicate urgent action is required on climate policies over the next few decades, in order to avoid the worst risks posed by climate change. On these relatively short time scales the combined effect of climate variability and change are both key drivers of extreme events, with decadal time scales also important for infrastructure planning. Hence, in order to assess climate risk on such time scales, we require climate models to be able to represent key aspects of both internally driven climate variability and the response to changing forcings. In this paper we argue that we now have the modeling capability to address these requirements—specifically with global models having horizontal resolutions considerably enhanced from those typically used in previous Intergovernmental Panel on Climate Change (IPCC) and Coupled Model Intercomparison Project (CMIP) exercises. The improved representation of weather and climate processes in such models underpins our enhanced confidence in predictions and projections, as well as providing improved forcing to regional models, which are better able to represent local-scale extremes (such as convective precipitation). We choose the global water cycle as an illustrative example because it is governed by a chain of processes for which there is growing evidence of the benefits of higher resolution. At the same time it comprises key processes involved in many of the expected future climate extremes (e.g., flooding, drought, tropical and midlatitude storms).

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“…The microphysical properties of ice clouds are closely related to meteorological conditions, such as temperature, stability, turbulent kinetic energy, vertical motion, and humidity (Field 1999;Heymsfield and Miloshevich 1995;Garrett et al 2005;Ansmann et al 2009). Figure 3 shows the contoured frequency by temperature diagrams (CFED) that were introduced by Hashino et al (2013) for the r e derived from 2C-ICE product for five COT types. Ou and Liou.…”

Section: Differences In Ice Cloud Properties Over the Wp And Epmentioning

confidence: 99%

Differences in Ice Cloud Microphysical Properties between Western and Eastern Tropical Pacific Regions Derived from CloudSat and CALIPSO Measurements

Takahashi

Hayasaka

Okamoto

2016

SOLA

Self Cite

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We revealed the difference in the ice cloud microphysical properties of high clouds between the western Pacific (WP) and eastern Pacific (EP) regions, based on satellite retrievals. The effective particle radius (r e ) was analyzed by using active sensors on board the CloudSat and CALIPSO satellites. We focused on ice clouds, defined as clouds with cloud top temperatures of less than 0°C. These ice clouds are classified into five types defined by the cloud optical thickness (COT). Mean cloud top heights of high cloud in WP were higher than those in EP by about 2km. The r e of optically thin clouds (0 < COT < 0.3) showed weak temperature dependency over both regions. For optically thick clouds (3 < COT), r e increases with temperature (T ). In the WP, r e at lower temperatures (T < −40°C) is larger than that in the EP, whereas in the EP, r e at higher temperatures (T > −40°C) is larger than that in the WP. The difference in r e may be caused by differences in moisture convergence and upward motion.(Citation: Takahashi, N., T. Hayasaka, and H. Okamoto, 2016: Differences in ice cloud microphysical properties between western and eastern tropical Pacific regions derived from CloudSat and CALIPSO measurements. SOLA, 12, 91−95,

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Evaluating cloud microphysics from NICAM against CloudSat and CALIPSO

Cited by 93 publications

References 54 publications

Performance assessment of a triple-frequency spaceborne cloud–precipitation radar concept using a global cloud-resolving model

Performance assessment of a triple-frequency spaceborne cloud–precipitation radar concept using a global cloud-resolving model

The Benefits of Global High Resolution for Climate Simulation: Process Understanding and the Enabling of Stakeholder Decisions at the Regional Scale

Differences in Ice Cloud Microphysical Properties between Western and Eastern Tropical Pacific Regions Derived from CloudSat and CALIPSO Measurements

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