scholarly journals High-Resolution Regional Wave Hindcast for the U.S. Alaska Coast

2019 ◽  
Author(s):  
Zhaoqing Yang ◽  
Wei-Cheng Wu ◽  
Taiping Wang ◽  
Gabriel Garcia Medina ◽  
Luca Castrucci
Keyword(s):  
High Resolution ◽  
Wave Hindcast ◽  
The U.S

scholarly journals High-Resolution Regional Wave Hindcast for the U.S. West Coast

2018 ◽  
Author(s):  
Zhaoqing Yang ◽  
Wei-Cheng Wu ◽  
Taiping Wang ◽  
Luca Castrucci
Keyword(s):  
High Resolution ◽  
West Coast ◽  
Wave Hindcast ◽  
The U.S

scholarly journals Wave resource characterization at regional and nearshore scales for the U.S. Alaska coast based on a 32-year high-resolution hindcast

2021 ◽  
Vol 170 ◽  
pp. 595-612
Author(s):  
Gabriel García-Medina ◽  
Zhaoqing Yang ◽  
Wei-Cheng Wu ◽  
Taiping Wang
Keyword(s):  
High Resolution ◽  
The U.S

https://fisheries.org/doi/9781934874301-ch19

2012 ◽  
Keyword(s):  
Ecosystem Services ◽  
High Resolution ◽  
Fisheries Management ◽  
Human Activities ◽  
Gulf Of Maine ◽  
Energy Development ◽  
Benthic Habitat ◽  
Important Species ◽  
Seafloor Mapping ◽  
The U.S

<i>Abstract</i> .—The Gulf of Maine’s seafloor provides a wide array of valuable ecosystem services, including provision of habitat for commercially and ecologically important mammals, seabirds, fish, and invertebrates. Implementing ecosystem-based management will require improved information about the habitats of economically and ecologically important species and the impacts of different human activities, such as fish harvesting, offshore energy development, and shipping, to balance these competing needs. Currently, there is limited high resolution seabed substrate information in the Gulf of Maine, especially in the U.S. portion, because of the high cost of multi-beam echo sounder surveys. Moreover, this lack of coverage limits the ability of managers to use seafloor substrate information in ecosystem management activities, such as fisheries management, that require more holistic coverage of the bioregion. Therefore, the potential need for seafloor mapping in this region is enormous given the value of accurate seafloor information to managers in charge of minimizing impacts to and sustaining the ecosystem services provided by benthic habitat in the Gulf of Maine.

A High-Resolution Regional Wave Resource Characterization for the U.S. West Coast

2020 ◽  
Author(s):  
Taiping Wang ◽  
Zhaoqing Yang ◽  
Fadia Marion Ticona Rollano ◽  
Wei-Cheng Wu ◽  
Gabriel García-Medina
Keyword(s):  
High Resolution ◽  
West Coast ◽  
The U.S

A 39-year high resolution wave hindcast for the Chinese coast: Model validation and wave climate analysis

2019 ◽  
Vol 183 ◽  
pp. 224-235 ◽  
Author(s):  
Jian Shi ◽  
Jinhai Zheng ◽  
Chi Zhang ◽  
Antoine Joly ◽  
Wei Zhang ◽  
...  
Keyword(s):  
High Resolution ◽  
Model Validation ◽  
Wave Climate ◽  
Wave Hindcast ◽  
Chinese Coast ◽  
Climate Analysis

scholarly journals Market-Driven Corn Monocropping in the U.S. Midwest

2019 ◽  
Vol 48 (02) ◽  
pp. 274-296 ◽  
Author(s):  
Haoying Wang ◽  
Ariel Ortiz-Bobea
Keyword(s):  
Environmental Policy ◽  
High Resolution ◽  
Land Cover ◽  
Crop Rotation ◽  
Aggregate Data ◽  
Market Returns ◽  
Land Cover Data ◽  
Price Shock ◽  
Market Driven ◽  
The U.S

This study examines the market drivers of corn monocropping in the U.S. Midwest by empirically analyzing crop rotation responses to market fluctuation from 2005 to 2014 and the price shock induced by the recent biofuel mandate. We find that the expected market returns for crops have a significant impact on farmers' decisions about monocropping. We also find that corn monocropping is loosely associated with the presence of nearby ethanol plants. This study illustrates the emerging use of high-resolution land cover data to tackle critical agribusiness and agro-environmental policy questions that remain elusive with aggregate data.

scholarly journals Impact of Anthropogenic Climate Change on United States Major Hurricane Landfall Frequency

2019 ◽  
Vol 7 (5) ◽  
pp. 135 ◽  
Author(s):  
Emma L. Levin ◽  
Hiroyuki Murakami
Keyword(s):  
Climate Change ◽  
United States ◽  
High Resolution ◽  
The United States ◽  
Anthropogenic Climate Change ◽  
Buffer System ◽  
Geophysical Fluid Dynamics Laboratory ◽  
Long Duration ◽  
Major Hurricane ◽  
The U.S

Although anthropogenic climate change has contributed to warmer ocean temperatures that are seemingly more favorable for Atlantic hurricane development, no major hurricanes made landfall in the United States between 2006 and 2016. The U.S., therefore, experienced a major hurricane landfall drought during those years. Using the high-resolution Geophysical Fluid Dynamics Laboratory 25 km grid High-Resolution Forecast-Oriented Low Ocean Resolution (HiFLOR) global climate model, the present study shows that increases in anthropogenic forcing, due to increases in greenhouse gasses, are associated with fewer long-duration major hurricane landfall droughts in the U.S., which implies an increase in major hurricane landfall frequency. We create six different fixed-distance ‘buffers’ that artificially circle the United States coastline in 100 km radial increments and can compensate for the bias in hurricane landfall calculations with six-hourly datasets. Major hurricane landfall frequencies are computed by applying the buffer zones to the six-hourly observed and simulated storm track datasets, which are then compared with the observed recorded major hurricane frequencies. We found that the major hurricane landfall frequencies generated with the 200 km buffer using the six-hourly observed best-track dataset are most correlated with the observed recorded major hurricane landfall frequencies. Using HiFLOR with an implemented buffer system, we found less frequent projections of long-duration major hurricane landfall drought events in controlled scenarios with greater anthropogenic global warming, which is independent on the radius of the coastal buffer. These results indicate an increase in U.S. major hurricane landfall frequencies with an increase in anthropogenic warming, which could pose a substantial threat to coastal communities in the U.S.

The Common Community Physics Package (CCPP): bridging the gap between research and operations to improve U.S. numerical weather prediction capabilities

2020 ◽  
Author(s):  
Dom Heinzeller ◽  
Grant Firl ◽  
Ligia Bernardet ◽  
Laurie Carson ◽  
Man Zhang ◽  
...  
Keyword(s):  
High Resolution ◽  
Numerical Weather Prediction ◽  
Weather Prediction ◽  
Modeling Framework ◽  
Initial Development ◽  
Numerical Weather ◽  
Computational Performance ◽  
The Common ◽  
The U.S ◽  
Physical Parameterizations

&lt;p&gt;Improving numerical weather prediction systems depends critically on the ability to transition innovations from research to operations (R2O) and to provide feedback from operations to research (O2R). This R2O2R cycle, sometimes referred to as &quot;crossing the valley of death&quot;, has long been identified as a major challenge for the U.S. weather enterprise.&lt;/p&gt;&lt;p&gt;As part of a broader effort to bridge this gap and advance U.S. weather prediction capabilities, the Developmental Testbed Center (DTC) with staff at NOAA and NCAR has developed the Common Community Physics Package (CCPP) for application in NOAA's Unified Forecasting System (UFS). The CCPP consists of a library of physical parameterizations and a framework, which interfaces the physics with atmospheric models based on metadata information and standardized interfaces. The CCPP physics library contains physical parameterizations from the current operational U.S. global, mesoscale and high-resolution models, future implementation candidates, and additional physics from NOAA, NCAR and other organizations. The range of physics options in the CCPP physics library enables the application of the UFS - as well as every other model using the CCPP - across scales, from now-casting to seasonal and from high-resolution regional to global ensembles.&lt;/p&gt;&lt;p&gt;While the initial development of the CCPP was centered around the FV3 (Finite-Volume Cubed-Sphere) dynamical core of the UFS, its focus has since widened. The CCPP is also used by the DTC Single Column Model to support a hierarchical testing strategy, and by the next generation NEPTUNE (Navy Environmental Prediction sysTem Utilizing the Numa corE) model of the Naval Research Laboratory. Further, and most importantly, NOAA and NCAR recently signed an agreement to jointly develop the CCPP framework as a single, standardized way to interface physics with their models of the atmosphere (and other compartments of the Earth system). This places the CCPP in the heart of several of the U.S. flagship models and opens the door for bringing innovations from a large research community into operations.&lt;/p&gt;&lt;p&gt;In this contribution, we will present a brief overview of the concept of the CCPP, its technical design and the requirements for parameterizations to be considered as CCPP-compliant. We will describe the integration of CCPP in the UFS and touch upon the challenges in creating a flexible modeling framework while maintaining high computational performance. We will also provide information on how to obtain, use and contribute to the CCPP, as well as on the future development of the CCPP framework and upcoming additions to the CCPP physics library.&lt;/p&gt;

Deciphering Holocene sea-level history on the U.S. Gulf Coast: A high-resolution record from the Mississippi Delta

2004 ◽  
Vol 116 (7) ◽  
pp. 1026 ◽  
Author(s):  
Torbjörn E. Törnqvist ◽  
Juan L. González ◽  
Lee A. Newsom ◽  
Klaas van der Borg ◽  
Arie F.M. de Jong ◽  
...  
Keyword(s):  
High Resolution ◽  
Sea Level ◽  
Mississippi Delta ◽  
Gulf Coast ◽  
The U.S ◽  
Holocene Sea Level
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