Verification of cloud cover forecast with INSAT observation over western India

Shah, Shivani; Rao, B. V. Appa; Kumar, Prashant; Pal, P. K.

doi:10.1007/s12040-010-0062-1

Cited by 12 publications

(7 citation statements)

References 20 publications

(12 reference statements)

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“…has shown problems in the ability of global and regional models to accurately represent marine stratocumulus clouds (Vellore et al, 2007;Otkin et al, 2009;Wyant et al, 2010;Abel et al, 2010), leading to difficulties in predicting cloud cover on an operational basis (e.g., Shah et al, 2010). Some problems are thought to be related to boundary layer schemes generating insufficient vertical mixing, resulting in an unrealistically shallow cloud-topped boundary layer (Otkin and Greenwald, 2008).…”

Section: P E Saide Et Al: Evaluating Wrf-chem Aerosol Indirect Effmentioning

confidence: 99%

Evaluating WRF-Chem aerosol indirect effects in Southeast Pacific marine stratocumulus during VOCALS-REx

et al. 2012

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We evaluate a regional-scale simulation with the WRF-Chem model for the VAMOS (Variability of the American Monsoon Systems) Ocean-Cloud-Atmosphere-Land Study Regional Experiment (VOCALS-REx), which sampled the Southeast Pacific's persistent stratocumulus deck. Evaluation of VOCALS-REx ship-based and three aircraft observations focuses on analyzing how aerosol loading affects marine boundary layer (MBL) dynamics and cloud microphysics. We compare local time series and campaign-averaged longitudinal gradients, and highlight differences in model simulations with (W) and without (NW) wet deposition processes. The higher aerosol loadings in the NW case produce considerable changes in MBL dynamics and cloud microphysics, in accordance with the established conceptual model of aerosol indirect effects. These include increase in cloud albedo, increase in MBL and cloud heights, drizzle suppression, increase in liquid water content, and increase in cloud lifetime. Moreover, better statistical representation of aerosol mass and number concentration improves model fidelity in reproducing observed spatial and temporal variability in cloud properties, including top and base height, droplet concentration, water content, rain rate, optical depth (COD) and liquid water path (LWP). Together, these help to quantify confidence in WRF-Chem's modeled aerosol-cloud interactions, especially in the activation parameterization, while identifying structural and parametric uncertainties including: irreversibility in rain wet removal; overestimation of marine DMS and sea salt emissions, and accelerated aqueous sulfate conversion. Our findings suggest that WRF-Chem simulates marine cloud-aerosol interactions at a level sufficient for applications in forecasting weather and air quality and studying aerosol climate forcing, and may do so with the reliability required for policy analysis

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Section: P E Saide Et Al: Evaluating Wrf-chem Aerosol Indirect Effmentioning

confidence: 99%

Evaluating WRF-Chem aerosol indirect effects in Southeast Pacific marine stratocumulus during VOCALS-REx

et al. 2012

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“…The WRF model has been developed by the National Center for Atmospheric Research (NCAR) and provides a flexible and portable open‐source community model for both atmospheric research and operational forecasting [ Skamarock et al ., ]. The WRF model has been utilized by thousands of users around the world in many different areas of atmospheric research including real‐time numerical weather forecasting [ Shah et al ., ], data assimilation [ Kumar et al ., , , ], and many others. It is a limited‐area, nonhydrostatic primitive equation model with multiple options for various parameterization schemes for different physical processes between land and atmosphere.…”

Section: Methodsmentioning

confidence: 99%

Impact of Kalpana-1 derived land surface albedo on short-range weather forecasting over the Indian subcontinent

Kumar

Bhattacharya

Nigam

et al. 2014

J. Geophys. Res. Atmos.

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The skill of weather forecasts at high spatial resolution depends on accurate representation of land surface states at appropriate spatial and temporal scales that modulate flux partitioning in the numerical weather prediction models. In this study, the Weather Research and Forecasting (WRF) model is customized to assess the impact of land surface albedo (LSA) derived from Kalpana-1 Very High Resolution Radiometer (K1VHRR) in comparison to default monthly climatological albedo from the United States Geological Survey (USGS). A two-stage upscaling of ground-measured albedo from Agro-Met Stations is performed to derive K1VHRR LSA. This combines multispectral reflectance at intermediate scales from the Advanced Wide Field Sensor on board Resourcesat-2 at Low Earth Orbiting platform and the planetary (Earth-atmosphere system) albedo from Kalpana-1 visible band at Geostationary Earth Orbiting platform. Two separate experiments, with real-time K1VHRR LSA and USGS climatological LSA (CNT), are performed to evaluate the impact of real-time K1VHRR LSA on daily WRF model forecasts during July 2009. Additional experiments are performed to assess the impact of real-time and climatological K1VHRR albedo against USGS climatological albedo based experiment. Results show that real-time K1VHRR albedo improves the surface temperature, specific humidity, and wind speed forecasts as compared to CNT experiments. The impact of climatological and real-time K1VHRR LSA is small compared to the advantage of using K1VHRR over USGS. Moreover, real-time K1VHRR albedo has additional benefits to improve the representation of seasonal variability. Results show that the real-time K1VHRR LSA has slight positive impact on rainfall forecast.

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“…Clouds, visible masses of tiny water droplets or frozen ice crystals, are one of the most crucial parameters for weather and climate prediction (Bauer et al, 2011;Errico et al, 2007;Shah et al, 2010). Kiehl and Trenberth (1997) showed the importance of clouds on the global energy budget.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of cloud base height measurements from Ceilometer CL31 and MODIS satellite over Ahmedabad, India

et al. 2016

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Abstract. Clouds play a tangible role in the Earth's atmosphere and in particular, the cloud base height (CBH), which is linked to cloud type, is one of the most important characteristics to describe the influence of clouds on the environment. In the present study, CBH observations from Ceilometer CL31 were extensively studied during May 2013 to January 2015 over Ahmedabad (23.03 • N, 72.54 • E), India. A detailed comparison has been performed with the use of ground-based CBH measurements from Ceilometer CL31 and CBH retrieved from MODIS (Moderate Resolution Imaging Spectroradiometer) onboard Aqua and Terra satellite. CBH retrieved from MODIS is ∼ 1.955 and ∼ 1.093 km on 25 July 2014 and 1 January 2015 respectively, which matches well with ceilometer-measured CBH (∼ 1.92 and ∼ 1.097 km). Some interesting features of cloud dynamics viz. strong downdraft and updraft have been observed over Ahmedabad which revealed different cloud characteristics during monsoon and post-monsoon periods. CBH shows seasonal variation during the Indian summer monsoon and postmonsoon period. Results indicate that the ceilometer is an excellent instrument to precisely detect low-and mid-level clouds, and the MODIS satellite provides accurate retrieval of high-level clouds over this region. The CBH algorithm used for the MODIS satellite is also able to capture the lowlevel clouds.

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Verification of cloud cover forecast with INSAT observation over western India

Cited by 12 publications

References 20 publications

Evaluating WRF-Chem aerosol indirect effects in Southeast Pacific marine stratocumulus during VOCALS-REx

Evaluating WRF-Chem aerosol indirect effects in Southeast Pacific marine stratocumulus during VOCALS-REx

Impact of Kalpana-1 derived land surface albedo on short-range weather forecasting over the Indian subcontinent

Evaluation of cloud base height measurements from Ceilometer CL31 and MODIS satellite over Ahmedabad, India

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