Application Of Advanced Surface And Borehole Geophysical Methods To Environmental And Engineering Problems On Long Island And In New York City

2004 ◽  
Author(s):  
Frederick Stumm ◽  
Anthony Chu
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
Long Island ◽  
Geophysical Methods ◽  
Engineering Problems

scholarly journals Analysis of major air pollutants and submicron particles in New York City and Long Island

2017 ◽  
Vol 148 ◽  
pp. 203-214 ◽  
Author(s):  
M. Masiol ◽  
P.K. Hopke ◽  
H.D. Felton ◽  
B.P. Frank ◽  
O.V. Rattigan ◽  
...  
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
Air Pollutants ◽  
Long Island ◽  
Submicron Particles

Jason Miller

2020 ◽  
pp. 448-464
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
Long Island ◽  
Coal Miner ◽  
Catholic University ◽  
Eastern Pennsylvania ◽  
The University ◽  
Catholic University Of America

Born John Anthony Miller in Long Island City, Queens, New York City, playwright and actor Jason Miller had deep connections to the anthracite coalfields of eastern Pennsylvania. The son of Irish American parents and grandson of a coal miner, Miller was reared in the Lackawana Valley. After earning a BA from the University of Scranton and studying theater at the Catholic University of America, Miller lived in New York City to pursue a career in acting and playwriting....

Introduction to the Species Accounts

2018 ◽  
pp. 73-80
Author(s):  
P. A. Buckley
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
Long Island ◽  
Quantitative Distribution ◽  
The Core ◽  
First Time ◽  
Extended Discussion ◽  
Winter Population ◽  
Quantitative Assessments

The core of this book, offering qualitative and quantitative assessments of the migratory, breeding, wintering, and resident avifauna of the Northwest Bronx, New York City back to 1872. The present and historical statuses of 301 study area species and another 70 potential species are described in detail for the Bronx, for New York City, for Long Island, and for Westchester and Rockland Cos. for the first time since 1964. Study area winter population changes are amplified by comparison to their numbers on 90 annual Bronx-Westchester Christmas Bird Counts from 1924. Extended discussion of pertinent identification, ecological, taxonomic, and distributional issues complements the quantitative distribution and occurrence data and update all 371 species to 2016.

scholarly journals Evaluating Sentinel-5P TROPOMI tropospheric NO<sub>2</sub> column densities with airborne and Pandora spectrometers near New York City and Long Island Sound

2020 ◽  
Author(s):  
Laura M. Judd ◽  
Jassim A. Al-Saadi ◽  
James J. Szykman ◽  
Lukas C. Valin ◽  
Scott J. Janz ◽  
...  
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
Long Island ◽  
A Priori ◽  
Long Island Sound ◽  
Vertical Column ◽  
Air Mass ◽  
Reference Measurements ◽  
Island Sound

Abstract. Abundant NO2 column measurements from airborne and ground-based Pandora spectrometers were collected as part of the 2018 Long Island Sound Tropospheric Ozone Study (LISTOS) in the New York City/Long Island Sound region and coincided with early measurements from the Sentinel-5P TROPOMI instrument. Both airborne- and ground-based measurements are used to evaluate the TROPOspheric Monitoring Instrument (TROPOMI) NO2 Tropospheric Vertical Column (TrVC) product v1.2 in this region, which has high spatial and temporal heterogeneity in NO2. First, airborne and Pandora TrVCs are compared to evaluate the uncertainty of the airborne TrVC and establish the spatial representativeness of the Pandora observations. The 171 coincidences between Pandora and airborne TrVCs are found to be highly correlated (r2=0.92 and slope of 1.03) with the biggest individual differences being associated with high temporal and/or spatial variability. These reference measurements (Pandora and airborne) are complementary with respect to temporal coverage and spatial representivity. Pandora spectrometers can provide continuous long-term measurements but may lack areal representivity when operated in direct-sun mode. Airborne spectrometers are typically only deployed for short periods of time, but their observations are more spatially representative of the satellite measurements with the added capability of retrieving at subpixel resolutions of 250 m × 250 m over the entire TROPOMI pixels they overfly. Thus, airborne data are more correlated with TROPOMI measurements (r2=0.96) than Pandora measurements are with TROPOMI (r2=0.84). The largest outliers between TROPOMI and the reference measurements are caused by errors in the TROPOMI retrieval of cloud pressure impacting the calculation of tropospheric air mass factors in cloud-free scenes. This factor causes a high bias in TROPOMI TrVCs of 4–11 %. Excluding these cloud-impacted points, TROPOMI has an overall low bias of 19–33% during the LISTOS timeframe of June–September 2018. Part of this low bias is caused by coarse a priori profile input from TM5-MP model; replacing these profiles with those from a 12 km NAMCMAQ analysis results in a 12–14 % increase in the TrVCs. Even with this improvement, the TROPOMI-NAMCMAQ TrVCs have a 7–19 % low bias, indicating needed improvement in a priori assumptions in the air mass factor calculation. Future work should explore additional impacts of a priori inputs to further assess the remaining low biases in TROPOMI using these datasets.

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