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Open Access. Powered by Scholars. Published by Universities.®

City University of New York (CUNY)

Publications and Research

2016

Oceanography and Atmospheric Sciences and Meteorology

Articles 1 - 10 of 10

Full-Text Articles in Physical Sciences and Mathematics

Bioremoval Of Phenol From Aqueous Solutions Using Native Caribbean Seaweed, Abel E. Navarro, Anibal Hernandez-Vega, Md Emran Masud, Loretta M. Roberson, Liz M. Diaz-Vázquez Dec 2016

Bioremoval Of Phenol From Aqueous Solutions Using Native Caribbean Seaweed, Abel E. Navarro, Anibal Hernandez-Vega, Md Emran Masud, Loretta M. Roberson, Liz M. Diaz-Vázquez

Publications and Research

Among several Puerto Rican algae, Sargassum sp. (SG) and Chaetomorpha (CM) showed the highest phenol adsorption capacity from aqueous solutions and were used in optimized adsorption batch experiments at room temperature. The effects of pH, adsorbent dose, phenol concentration, salinity and presence of interfering substances were evaluated. Initial solution pH exhibited a strong effect, mainly on the phenol aqueous chemistry; showing the maximum adsorption at pH 10. Sorption isotherm results were modelled according to the Langmuir, Tempkin and Freundlich equations. Isotherm modelling indicated a maximum adsorption capacity (qmax) of 82.10 and 17.7 mg of phenol per gram of SG and …

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Global Land Surface Emissivity Estimation From Amsr2 Observations, Satya Prakash, Hamid Norouzi, Marzieh Azarderakhsh, Reginald Blake, Kibrewossen Tesfagiorgis Jul 2016

Global Land Surface Emissivity Estimation From Amsr2 Observations, Satya Prakash, Hamid Norouzi, Marzieh Azarderakhsh, Reginald Blake, Kibrewossen Tesfagiorgis

Publications and Research

A reliable estimate of emissivity is critical for a wide range of applications for the atmosphere, the biosphere, the lithosphere, the cryosphere, and the hydrosphere. This study uses three years (August 2012 – July 2015) of data from the Advanced Microwave Scanning Radiometer-2 (AMSR2) sensor that is onboard the Global Change Observation Mission 1st Water (GCOM-W1) satellite to explore estimates of instantaneous global land emissivity. A method is adopted to remove the known inconsistency in penetration depths between microwave brightness temperatures and infrared-based ancillary data that could cause differences between day and night emissivity estimates. After removing the diurnal atmospheric …

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Bathymetric Survey For Lakes Azuei And Enriquillo, Hispaniola, Michael Piasecki, Mahrokh Moknatian, Fred Moshary, Joseph Cleto, Yolanda Leon, Jorge Gonzalez, Daniel Comarazamy Jun 2016

Bathymetric Survey For Lakes Azuei And Enriquillo, Hispaniola, Michael Piasecki, Mahrokh Moknatian, Fred Moshary, Joseph Cleto, Yolanda Leon, Jorge Gonzalez, Daniel Comarazamy

Publications and Research

The two largest lakes on the Caribbean Island of Hispaniola, Lake Azuei in Haiti and Lake Enriquillo in the Dominican Republic, have experienced dramatic growth and surface area expansion over the past few years leading to severe flooding and loss of arable land around the lake perimeters. In order to better understand the reasons for this unprecedented rate of expansion and the resulting consequences a multi-disciplinary team comprised of researchers from Haiti, the DR, and the US have embarked on an extensive data collecting and hydrologic and climatological modeling campaign. While the sensor deployment entails stations that measure climatological data …

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An Early Assessment Of Medium Range Monsoon Precipitation Forecasts From The Latest High-Resolution Ncep-Gfs (T1534) Model Over South Asia, Satya Prakash, Imaranali M. Momin, Ashis K. Mitra, Partha S. Bhattacharjee, Fanglin Yang, Vijay Tallapragada Jun 2016

An Early Assessment Of Medium Range Monsoon Precipitation Forecasts From The Latest High-Resolution Ncep-Gfs (T1534) Model Over South Asia, Satya Prakash, Imaranali M. Momin, Ashis K. Mitra, Partha S. Bhattacharjee, Fanglin Yang, Vijay Tallapragada

Publications and Research

Reliable prediction of the South Asian monsoon rainfall and its variability is crucial for various hydrological applications and early warning systems. The National Centers for Environmental Prediction – Global Forecast System (NCEP–GFS) is one of the popular global deterministic numerical weather prediction models, which is recently upgraded from T574 to T1534. In this paper, medium range monsoon precipitation forecasts from both the T1534 and T574 models are critically evaluated over the South Asia for the peak monsoon months (July and August) of 2015. Although both the versions of GFS model show similar large-scale monsoon rainfall patterns, the dry bias over …

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Satellite Retrievals Of Karenia Brevis Harmful Algal Blooms In The West Florida Shelf Using Neural Networks And Comparisons With Other Techniques, Ahmed El-Habashi, Ioannis Ioannou, Michelle Tomlinson, Richard P. Stumpf, Sam Ahmed May 2016

Satellite Retrievals Of Karenia Brevis Harmful Algal Blooms In The West Florida Shelf Using Neural Networks And Comparisons With Other Techniques, Ahmed El-Habashi, Ioannis Ioannou, Michelle Tomlinson, Richard P. Stumpf, Sam Ahmed

Publications and Research

We describe the application of a Neural Network (NN) previously developed by us, to the detection and tracking, of Karenia brevis Harmful Algal Blooms (KB HABs) that plague the coasts of the West Florida Shelf (WFS) using Visible Infrared Imaging Radiometer Suite (VIIRS) satellite observations. Previous approaches for the detection of KB HABs in the WFS primarily used observations from the Moderate Resolution Imaging Spectroradiometer Aqua (MODIS-A) satellite. They depended on the remote sensing reflectance signal at the 678 nm chlorophyll fluorescence band (Rrs678) needed for both the normalized fluorescence height (nFLH) and Red Band Difference algorithms (RBD) currently used. …

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Ensemble Forecasts: Probabilistic Seasonal Forecasts Based On A Model Ensemble, Hannah Aizenman, Michael D. Grossberg, Nir Y. Krakauer, Irina Gladkova Mar 2016

Ensemble Forecasts: Probabilistic Seasonal Forecasts Based On A Model Ensemble, Hannah Aizenman, Michael D. Grossberg, Nir Y. Krakauer, Irina Gladkova

Publications and Research

Ensembles of general circulation model (GCM) integrations yield predictions for meteorological conditions in future months. Such predictions have implicit uncertainty resulting from model structure, parameter uncertainty, and fundamental randomness in the physical system. In this work, we build probabilistic models for long-term forecasts that include the GCM ensemble values as inputs but incorporate statistical correction of GCM biases and different treatments of uncertainty. Specifically, we present, and evaluate against observations, several versions of a probabilistic forecast for gridded air temperature 1 month ahead based on ensemble members of the National Centers for Environmental Prediction (NCEP) Climate Forecast System Version 2 …

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Soft Robotic Grippers For Biological Sampling On Deep Reefs, Kevin C. Galloway, Kaitlyn P. Becker, Brennan Phillips, Jordan Kirby, Stephen Licht, Dan Tchernov, Robert J. Wood, David F. Gruber Mar 2016

Soft Robotic Grippers For Biological Sampling On Deep Reefs, Kevin C. Galloway, Kaitlyn P. Becker, Brennan Phillips, Jordan Kirby, Stephen Licht, Dan Tchernov, Robert J. Wood, David F. Gruber

Publications and Research

This article presents the development of an underwater gripper that utilizes soft robotics technology to delicately manipulate and sample fragile species on the deep reef. Existing solutions for deep sea robotic manipulation have historically been driven by the oil industry, resulting in destructive interactions with undersea life. Soft material robotics relies on compliant materials that are inherently impedance matched to natural environments and to soft or fragile organisms. We demonstrate design principles for soft robot end effectors, bench-top characterization of their grasping performance, and conclude by describing in situ testing at mesophotic depths. The result is the first use of …

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A Preliminary Assessment Of Gpm-Based Multi-Satellite Precipitation Estimates Over A Monsoon Dominated Region, Satya Prakash, Ashis K. Mitra, Amir Aghakouchak, Zhong Liu, Hamidreza Norouzi, D. S. Pai Jan 2016

A Preliminary Assessment Of Gpm-Based Multi-Satellite Precipitation Estimates Over A Monsoon Dominated Region, Satya Prakash, Ashis K. Mitra, Amir Aghakouchak, Zhong Liu, Hamidreza Norouzi, D. S. Pai

Publications and Research

Following the launch of the Global Precipitation Measurement (GPM) Core Observatory, two advanced high resolution multi-satellite precipitation products namely, Integrated Multi-satellitE Retrievals for GPM (IMERG) and Global Satellite Mapping of Precipitation (GSMaP) version 6 are released. A critical evaluation of these newly released precipitation data sets is very important for both the end users and data developers. This study provides a comprehensive assessment of IMERG research product and GSMaP estimates over India at a daily scale for the southwest monsoon season (June to September 2014). The GPM-based precipitation products are inter-compared with widely used TRMM Multi-satellite Precipitation Analysis (TMPA), and …

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Improved Viirs And Modis Sst Imagery, Irina Gladkova, Alexander Ignatov, Fazlul Shahriar, Yury Kihai, Don Hillger, Boris Petrenko Jan 2016

Improved Viirs And Modis Sst Imagery, Irina Gladkova, Alexander Ignatov, Fazlul Shahriar, Yury Kihai, Don Hillger, Boris Petrenko

Publications and Research

Moderate Resolution Imaging Spectroradiometers (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) radiometers, flown onboard Terra/Aqua and Suomi National Polar-orbiting Partnership (S-NPP)/Joint Polar Satellite System (JPSS) satellites, are capable of providing superior sea surface temperature (SST) imagery. However, the swath data of these multi-detector sensors are subject to several artifacts including bow-tie distortions and striping, and require special pre-processing steps. VIIRS additionally does two irreversible data reduction steps onboard: pixel aggregation (to reduce resolution changes across the swath) and pixel deletion, which complicate both bow-tie correction and destriping. While destriping was addressed elsewhere, this paper describes an algorithm, adopted in …

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Assessing Urban Greenhouse Gas Emissions In European Medium And Large Cities: Methodological Considerations, Peter Marcotullio, Andrea Sarzynski, Jochen Albrecht, Niels Schulz, Jake Garcia Jan 2016

Assessing Urban Greenhouse Gas Emissions In European Medium And Large Cities: Methodological Considerations, Peter Marcotullio, Andrea Sarzynski, Jochen Albrecht, Niels Schulz, Jake Garcia

Publications and Research

Policymakers need clear, consistent, and reliable information about the location of greenhouse gases and drivers of emitting activity in order to design appropriate mitigating strategies. At the urban scale, there have been challenges in developing consistent and reliable emissions inventories. This chapter examines selected methods to determine greenhouse gas emissions at the urban scale. We describe the various criteria considered when constructing an urban greenhouse gas protocol including the definition of urban, the gasses that are measured, the source they come from, the scope of analysis and how the measurements are undertaken. We then present results for European medium and …

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