Search Results

You are looking at 1 - 10 of 10 items for :

  • Air–Sea Interactions from the Diurnal to the Intraseasonal during the PISTON, MISOBOB, and CAMP2Ex Observational Campaigns in the Tropics x
  • Refine by Access: All Content x
Clear All
Michael B. Natoli and Eric D. Maloney

passive microwave estimates. Thus, infrared information is only used to predict storm motion, and is not directly used to estimate precipitation rates. These initial estimates are bias-corrected against gauge data and the Global Precipitation Climatology Project ( Adler et al. 2003 ) to yield the final product. Other studies have shown that this bias-corrected CMORPH technique removes most of the bias over land in warm climates (as in this study), and performs favorably when compared with the commonly

Restricted access
Simon P. de Szoeke

situ are important for validating sea surface temperature (SST) retrievals ( Emery et al. 2001 ; Donlon et al. 2002 ; Gentemann et al. 2003 ). Accurate SST measurements are also critical for modeling surface turbulent sensible and latent heat flux with bulk aerodynamic formulas ( Fairall et al. 1996a , b ). The warm layer has a strong effect on the bulk fluxes where differences between SST and air temperature are small. Interactions between the ocean, atmosphere, and surrounding land in the Bay

Open access
Michael B. Natoli and Eric D. Maloney

through a weighted linear interpolation. As a result, infrared information is only used to track systems identified by microwave estimates rather than adding additional calibrated precipitation estimates. Estimates are then bias corrected using gauge data over land and the Global Precipitation Climatology Project over ocean ( Xie et al. 2017 ). While such bias correction improves the accuracy of satellite precipitation estimates over complex terrain, there are still quantitative weaknesses in products

Free access
Kyle Chudler, Weixin Xu, and Steven A. Rutledge

radar measurements with sufficient detail to accurately resolve the salient differences between land and ocean precipitation. Importantly, these products also provide vertical profiles of radar reflectivity (TRMM 250 m and GPM 125-m resolution). Previous studies in the region using only surface rainfall estimates (i.e., Natoli and Maloney 2019 ) cannot provide information on the vertical structure of storms, so this is a novel component of this research. While surface rainfall statistics are

Free access
Emily M. Riley Dellaripa, Eric D. Maloney, Benjamin A. Toms, Stephen M. Saleeby, and Susan C. van den Heever

. Other studies have focused on the changes in amplitude and phase of the DCP over the MC through different MJO large-scale conditions. Using TRMM observations, Peatman et al. (2014) found that the DCP amplitude over MC land peaks just prior to the arrival of large-scale active MJO convection. Birch et al. (2016) reached a similar conclusion with TRMM observations and regional climate model simulations, but focused on the DCP over Sumatra during different large-scale MJO conditions. Cloud

Free access
Wei-Ting Chen, Chien-Ming Wu, and Hsi-Yen Ma

.S. Department of Energy Cloud Associated Parameterizations Testbed (CAPT) following Ma et al. (2013 , 2014 , 2015 ). The CAPT hindcasts analyzed in this study were carried out using the CAM5 (version cesm1_0_5) with finite-volume dynamical core, a horizontal resolution of 0.9° × 1.25° (latitude by longitude), 30 vertical levels, prescribed SST, and the Community Land Model, version 4.0 (CLM4). The physics package pertinent to the hindcast simulations consist of the deep convection scheme ( Zhang and

Full access
Corinne B. Trott, Bulusu Subrahmanyam, Heather L. Roman-Stork, V. S. N. Murty, and C. Gnanaseelan

. 2016 ). NASA’s Jet Propulsion Laboratory provides daily SMAP SSS data starting 1 April 2015, interpolated using the 8-day running mean. We use the most recent SMAP version 4.0, which accounts for galaxy and land contamination corrections and reduced brightness temperature biases ( Fore et al. 2016 ). Soil Moisture and Ocean Salinity (SMOS) data used in this study are the most up-to-date debiased SMOS SSS level 3 data generated by the Ocean Salinity Center of Expertise at the Centre Aval de

Full access
Emily Shroyer, Amit Tandon, Debasis Sengupta, Harindra J. S. Fernando, Andrew J. Lucas, J. Thomas Farrar, Rajib Chattopadhyay, Simon de Szoeke, Maria Flatau, Adam Rydbeck, Hemantha Wijesekera, Michael McPhaden, Hyodae Seo, Aneesh Subramanian, R Venkatesan, Jossia Joseph, S. Ramsundaram, Arnold L. Gordon, Shannon M. Bohman, Jaynise Pérez, Iury T. Simoes-Sousa, Steven R. Jayne, Robert E. Todd, G. S. Bhat, Matthias Lankhorst, Tamara Schlosser, Katherine Adams, S. U. P Jinadasa, Manikandan Mathur, M. Mohapatra, E. Pattabhi Rama Rao, A. K. Sahai, Rashmi Sharma, Craig Lee, Luc Rainville, Deepak Cherian, Kerstin Cullen, Luca R. Centurioni, Verena Hormann, Jennifer MacKinnon, Uwe Send, Arachaporn Anutaliya, Amy Waterhouse, Garrett S. Black, Jeremy A. Dehart, Kaitlyn M. Woods, Edward Creegan, Gad Levy, Lakshmi H. Kantha, and Bulusu Subrahmanyam

with generous showers, and the lisping patter of rain, rings sweet to the ears of men” (translation of Kalidasa’s Ritusamhara from 1792, Pandit 1944 ; Murty 2014 ). At a highly idealized level, the monsoon results from seasonal variation in solar forcing along with the contrasting thermal response of land and ocean. This commonly relied on framework ignores the critical role of moisture (e.g., Chou and Neelin 2003 ) and overlooks the development of monsoons in aquaplanet simulations ( Bordoni

Full access
Wei-Ting Chen, Shih-Pei Hsu, Yuan-Huai Tsai, and Chung-Hsiung Sui

TC genesis to take place. Tropical waves can also interact with the prominent diurnal variability over the MC and SCS. In MJO events, the mean and diurnal amplitude of land precipitations over the MC are enhanced 6 days ahead of the MJO convection envelope, while the precipitation over the coastal ocean is largely suppressed ( Peatman et al. 2014 ; Birch et al. 2016 ; Hung and Sui 2018 ). Baranowski et al. (2016b) tracked the KW events passing MC using satellite observations to identify the

Full access
Benjamin A. Toms, Susan C. van den Heever, Emily M. Riley Dellaripa, Stephen M. Saleeby, and Eric D. Maloney

important for understanding the role of moist convection in climate in general, and particularly as it relates to the MJO. Fig . 1. Pentad OLR anomalies for the simulated MJO event based on OMI, reconstructed using the OMI principal components for each pentad. The anomalies shown are only for the 20–96-day anomalies represented by OMI and therefore do not directly consider the mesoscale convective structure of the MJO. Positive (negative) OLR anomalies correspond to suppressed (enhanced) convection

Free access