scholarly journals New York City Impacts on a Regional Heat Wave

2018 ◽  
Vol 57 (4) ◽  
pp. 837-851 ◽  
Author(s):  
Luis E. Ortiz ◽  
Jorge E. Gonzalez ◽  
Wei Wu ◽  
Martin Schoonen ◽  
Jeffrey Tongue ◽  
...  
Keyword(s):  
New York ◽  
New York City ◽  
Heat Wave ◽  
Cross Sections ◽  
York City ◽  
Heat Waves ◽  
Wrf Model ◽  
Positive Interactions ◽  
Synoptic Conditions ◽  
Energy And Momentum

ABSTRACTHeat waves are projected to increase in magnitude and frequency throughout this century because of increasing global temperatures, making it critically important to acquire improved understanding of their genesis and interactions with large cities. This study presents an application of the method of factor separation to assess combined impacts of a synoptic-scale heat wave, urban land cover, and urban energy and momentum fluxes on temperatures and winds over New York City, New York, via use of high-resolution simulations (1-km grid spacing) with an urbanized version of the Weather Research and Forecasting (WRF) Model. Results showed that factors behaved different throughout the day, with synoptic conditions dominating afternoon temperature contributions (>7°C). At night, combined urban surface factors contributed over 5°C during the heat wave and up to 1.5°C on non-heat-wave days. Positive interactions among all factors during morning and nighttime indicate an amplification of the urban heat island of up to 4°C during the heat wave. Midtown Manhattan vertical cross sections, where urban canopies are most dense, showed a change in the sign (from positive to negative) of the contribution of the urban fluxes between night and day below 500 m, possibly as a result of decreased radiative cooling from trapping by buildings and increased thermal storage by buildings as well as frictional effects that oppose the incoming warm air.

scholarly journals A Case-Only Study of Vulnerability to Heat Wave–RelatedMortality in New York City (2000–2011)

2015 ◽  
Vol 123 (7) ◽  
pp. 672-678 ◽  
Author(s):  
Jaime Madrigano ◽  
Kazuhiko Ito ◽  
Sarah Johnson ◽  
Patrick L. Kinney ◽  
Thomas Matte
Keyword(s):  
New York ◽  
New York City ◽  
Heat Wave ◽  
York City

Mortality in the elderly in a heat wave in New York City, August 1975

1978 ◽  
Vol 15 (3) ◽  
pp. 504-512 ◽  
Author(s):  
F.P. Ellis ◽  
Frieda Nelson
Keyword(s):  
New York ◽  
New York City ◽  
Heat Wave ◽  
York City ◽  
The Elderly

A high-resolution modeling study of a heat wave-driven ozone exceedance event in New York City and surrounding regions

2019 ◽  
Vol 199 ◽  
pp. 368-379 ◽  
Author(s):  
Kaihui Zhao ◽  
Yunxuan Bao ◽  
Jianping Huang ◽  
Yonghua Wu ◽  
Fred Moshary ◽  
...  
Keyword(s):  
New York ◽  
New York City ◽  
High Resolution ◽  
Heat Wave ◽  
York City ◽  
Modeling Study

Urban WRF-Solar Validation and Potential for Power Forecast in New York City

2018 ◽  
Author(s):  
Harold Gamarro ◽  
Jorge E. Gonzalez ◽  
Luis E. Ortiz
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
Solar Power ◽  
Wrf Model ◽  
Urban Canopy ◽  
Solar Module ◽  
Ground Station ◽  
Recent Developments ◽  
Sky Conditions

Recent developments in the Weather Research and Forecasting (WRF) Model have made it possible to accurately approximate solar power through the implementation of WRF-Solar. This study couples the WRF-Solar module with a multilayer urban canopy and building energy model in New York City (NYC) to create a unified WRF forecasting model called uWRF-Solar. Hourly time resolution forecasts are validated against ground station data collected at eight different sites. The validation is carried out independently for two different sky conditions: clear and cloudy. Results indicate that the uWRF-Solar model can forecast solar irradiance considerably well for the global horizontal irradiance (GHI) with an R squared value of 0.93 for clear sky conditions and 0.76 for cloudy sky conditions. Results are further used to directly forecast solar power production in the NYC region, where a power evaluation is done at a city scale. The outputs show a gradient of power generation produced by the potential available solar energy on the entire uWRF-Solar grid. In total, for the month of July 2016, NYC had a city PV potential of 233 kW/day/m2 and 7.25 MWh/month/m2.

scholarly journals Multi-hazard risks in New York City

2018 ◽  
Vol 18 (12) ◽  
pp. 3363-3381 ◽  
Author(s):  
Yaella Depietri ◽  
Khila Dahal ◽  
Timon McPhearson
Keyword(s):  
Risk Assessment ◽  
New York ◽  
New York City ◽  
Natural Hazards ◽  
York City ◽  
Heat Waves ◽  
Urban Systems ◽  
Hazard Risk ◽  
Coastal Megacity ◽  
Hazard Risk Assessment

Abstract. Megacities are predominantly concentrated along coastlines, making them exposed to a diverse mix of natural hazards. The assessment of climatic hazard risk to cities rarely has captured the multiple interactions that occur in complex urban systems. We present an improved method for urban multi-hazard risk assessment. We then analyze the risk of New York City as a case study to apply enhanced methods for multi-hazard risk assessment given the history of exposure to multiple types of natural hazards which overlap spatially and, in some cases, temporally in this coastal megacity. Our aim is to identify hotspots of multi-hazard risk to support the prioritization of adaptation strategies that can address multiple sources of risk to urban residents. We used socioeconomic indicators to assess vulnerabilities and risks to three climate-related hazards (i.e., heat waves, inland flooding and coastal flooding) at high spatial resolution. The analysis incorporates local experts' opinions to identify sources of multi-hazard risk and to weight indicators used in the multi-hazard risk assessment. Results demonstrate the application of multi-hazard risk assessment to a coastal megacity and show that spatial hotspots of multi-hazard risk affect similar local residential communities along the coastlines. Analyses suggest that New York City should prioritize adaptation in coastal zones and consider possible synergies and/or trade-offs to maximize impacts of adaptation and resilience interventions in the spatially overlapping areas at risk of impacts from multiple hazards.

Mortality during heat waves in New York City July, 1972 and August and September, 1973

1975 ◽  
Vol 10 (1) ◽  
pp. 1-13 ◽  
Author(s):  
F.P. Ellis ◽  
F. Nelson ◽  
L. Pincus
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
Heat Waves

Comparison of Regional Climate Model Performances for Different Types of Heat Waves over South Korea

2020 ◽  
pp. 1-49
Author(s):  
Donghyuck Yoon ◽  
Dong-Hyun Cha ◽  
Myong-In Lee ◽  
Ki-Hong Min ◽  
Sang-Yoon Jun ◽  
...  
Keyword(s):  
Heat Wave ◽  
Climate Model ◽  
Heat Waves ◽  
Regional Climate ◽  
Extreme Temperature ◽  
Wrf Model ◽  
Positive Anomaly ◽  
Reanalysis Dataset ◽  
Blocking High ◽  
Synoptic Conditions

AbstractSouth Korea’s heat wave events over 39 years (1980–2018) were defined by spatiotemporal criteria, and their quantitative characteristics were analyzed. The duration and intensity of these events ranked the highest in 2016 and 2018. An examination of synoptic conditions of heat wave events in 2016 and 2018 based on a reanalysis dataset revealed a positive anomaly of 500-hPa geopotential height, which could have induced warm conditions over the Korean Peninsula in both years. However, a difference prevailed in that there was a blocking high over the Kamchatka Peninsula and a continental thermal high over northern China in 2016, while the expansion of the western North Pacific subtropical-high was mainly associated with 2018 heat wave events. Numerical experiments using the Weather Research and Forecasting model (WRF) were conducted to (1) evaluate how distinct meteorological characteristics of heat wave events in 2016 and 2018 were reproduced by the model, and (2) investigate how they affect extreme temperature events. Typical synoptic features of the 2016 heat wave events (i.e., Kamchatka blocking and continental thermal high) were not captured well by the WRF model, while those of 2018 were reasonably reproduced. On the contrary, the heat wave event during late-August 2016 related to the Kamchatka blocking high was realistically simulated when the blocking was artificially persisted by applying the spectral nudging. In conclusion, the existence of a blocking high over the Kamchatka region (i.e., northern Pacific region) is an important feature to accurately predict long-lasted heat waves in East Asia.

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