Atmospheric Rivers in CMIP5 Climate Ensembles Downscaled with a High Resolution Regional Climate Model
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Southern Hemisphere Mid- and High-Latitudinal AOD, CO, NO2, And
Ahn et al. Progress in Earth and Planetary Science (2019) 6:34 Progress in Earth and https://doi.org/10.1186/s40645-019-0277-y Planetary Science RESEARCH ARTICLE Open Access Southern Hemisphere mid- and high- latitudinal AOD, CO, NO2, and HCHO: spatiotemporal patterns revealed by satellite observations Dha Hyun Ahn1, Taejin Choi2, Jhoon Kim1, Sang Seo Park3, Yun Gon Lee4, Seong-Joong Kim2 and Ja-Ho Koo1* Abstract To assess air pollution emitted in Southern Hemisphere mid-latitudes and transported to Antarctica, we investigate the climatological mean and temporal trends in aerosol optical depth (AOD), carbon monoxide (CO), nitrogen dioxide (NO2), and formaldehyde (HCHO) columns using satellite observations. Generally, all these measurements exhibit sharp peaks over and near the three nearby inhabited continents: South America, Africa, and Australia. This pattern indicates the large emission effect of anthropogenic activities and biomass burning processes. High AOD is also found over the Southern Atlantic Ocean, probably because of the sea salt production driven by strong winds. Since the pristine Antarctic atmosphere can be polluted by transport of air pollutants from the mid-latitudes, we analyze the 10-day back trajectories that arrive at Antarctic ground stations in consideration of the spatial distribution of mid-latitudinal AOD, CO, NO2, and HCHO. We find that the influence of mid-latitudinal emission differs across Antarctic regions: western Antarctic regions show relatively more back trajectories from the mid-latitudes, while the eastern Antarctic regions do not show large intrusions of mid-latitudinal air masses. Finally, we estimate the long-term trends in AOD, CO, NO2, and HCHO during the past decade (2005–2016). -
Extreme Weather Events
Extreme weather events Introduction The further a particular weather event lies from the typical range of that type of event, the more it is likely to be described as an extreme event, irrespective of whether it concerns a violent storm, unusual temperatures, heavy precipitation, drought or flood. 2012 seems to have been a year of extreme weather events (‘superstorm’ Sandy in the USA, high rainfall and floods in the UK, etc.). Other years in the last decade have also contained droughts and wildfires (in the USA and Australia), hurricane Katrina (USA), floods (Pakistan) and heat waves (Russia and France). At the same time it is becoming increasingly accepted that human activity, principally the burning of fossil fuels, is changing the global climate and causing the atmosphere to warm. The average global temperature of the lowermost atmosphere has increased markedly since about 1980. Are the two observations, which operate on different timescales1, connected? Are extreme weather events really becoming more common and/or more severe, or are they perhaps part of the climate’s natural variability? The aim of this document is to investigate these two questions. Some basic physics of a warmer atmosphere As air warms its humidity is able to rise and so the atmosphere carries more water vapour. For example, the water content of the atmosphere increases by 7% for each degree Centigrade rise in temperature, although globally precipitation is expected to rise by only about 2%/°C because relative humidity is typically not expected to change on the global scale.8 1 climate change is defined as changes occurring at least over a few decades whereas extreme weather typically lasts from days to months. -
Atmospheric Rivers: Harbors for Extreme Winter Precipitation by Zack Guido
3 | Feature Article Atmospheric Rivers: Harbors for Extreme Winter Precipitation By Zack Guido ierce winds loaded with moisture Fblasted into the Southwest on Decem- ber 18, 2010, dumping record-setting rain and snow from Southern California to southern Colorado. Fourteen inches of rain drenched St. George, Utah, over six days, while 6 inches soaked parts of northwest Arizona in a torrent that sin- gle-handedly postponed drought. Behind this wet weather was a phe- nomenon called atmospheric rivers, a Figure 1. A satellite image of an atmospheric river striking the Pacific Northwest on term first coined in 1998. ARs, as they November 7, 2006. This event produced about 25 inches of rain in three days. Warm are known to scientists, often deliver colors in the image represent moist air and cool colors denote dry air. The horizontal extreme precipitation, mostly to the band of red and purple at the bottom of the image is the Intertropical Convergence West Coast, but sometimes inland as Zone (ITCZ), a normally moist area that some of the strongest ARs can tap into, as well, prompting researchers to probe how happened in this case. Photo credit: Marty Ralph. they form and the effects they have in a changing climate. They are products of an unevenly heated through March is the peak season for Earth and form during winter, when the ARs that drench Southern California. ARs have caused nearly all of the largest temperature difference between the trop- floods on record in California, account- ics and the poles is greatest. The most intense ARs can transport an ing for most of the $400 million the state amount of water vapor equal to the flow spends each year to repair flood damage. -
The Role of Natural Variability in Projections of Climate 10.1002/2016GL071565 Change Impacts on U.S
PUBLICATIONS Geophysical Research Letters RESEARCH LETTER The role of natural variability in projections of climate 10.1002/2016GL071565 change impacts on U.S. ozone pollution Key Points: Fernando Garcia-Menendez1,2 , Erwan Monier2 , and Noelle E. Selin2,3,4 • Natural variability can significantly fl in uence model-based projections of 1Department of Civil, Construction and Environmental Engineering, North Carolina State University, Raleigh, North Carolina, climate change impacts on air quality 2 • Multidecadal simulations or initial USA, Joint Program on the Science and Policy of Global Change, Massachusetts Institute of Technology, Cambridge, 3 condition ensembles are needed to Massachusetts, USA, Institute for Data, Systems and Society, Massachusetts Institute of Technology, Cambridge, identify an anthropogenic-forced Massachusetts, USA, 4Department of Earth, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology, climate signal in O3 concentrations Cambridge, Massachusetts, USA • It is difficult to attribute the impacts of climate change on O3 to human influence before midcentury or under Abstract Climate change can impact air quality by altering the atmospheric conditions that determine stabilization scenarios pollutant concentrations. Over large regions of the U.S., projected changes in climate are expected to favor formation of ground-level ozone and aggravate associated health effects. However, modeling studies Supporting Information: exploring air quality-climate interactions have often overlooked the role of natural variability, a major source • Supporting Information S1 of uncertainty in projections. Here we use the largest ensemble simulation of climate-induced changes in air Correspondence to: quality generated to date to assess its influence on estimates of climate change impacts on U.S. ozone. F. Garcia-Menendez, We find that natural variability can significantly alter the robustness of projections of the future climate’s [email protected] effect on ozone pollution. -
Atmospheric Rivers
Atmospheric Rivers What is an Atmospheric River? Atmospheric rivers are relatively narrow regions in the atmosphere that are responsible for most of the transport of water vapor from the tropics. Atmospheric rivers come in all shapes and sizes but those that contain the largest amounts of water vapor and strongest winds are responsible for extreme rainfall events and floods. This type of hydrologic event can affect the entire west coast of North America. These extreme events can disrupt travel, induce mudslides, and cause damage to life and property. Not all atmospheric rivers are disruptive. Many are weak and provide beneficial rain or high elevation snow that is crucial to the water supply. The image on the left shows an atmospheric river that affected South- east Alaska on 11-08-2014. The atmospheric river is marked by the narrow plume of subtropical moisture evident in the Total Precipitable Water field extending from the central Pacific northeastward through the Gulf of Alaska. Why do Atmospheric Rivers Occur in SE Alaska? Due to its location on the western side of the North American continent, SE Alaska is often the target for powerful ocean storms that form over the western and central Pacific Ocean and move eastward, steered by the prevailing westerly upper level jet stream. These powerful low pressure systems often have strong fronts associated with them. Fronts act like a conduit to channel warm, moist air northward and eastward ahead of the low pressure system in what is called the “warm conveyor belt”. The strongest fronts are also regions of strong winds in the lower portions of the atmosphere. -
CMIP5-Derived Single-Forcing, Single-Model, and Single-Scenario Wind-Wave Climate Ensemble: Configuration and Performance Evaluation
Journal of Marine Science and Engineering Article CMIP5-Derived Single-Forcing, Single-Model, and Single-Scenario Wind-Wave Climate Ensemble: Configuration and Performance Evaluation Alvaro Semedo 1,2,*, Mikhail Dobrynin 3, Gil Lemos 2, Arno Behrens 4, Joanna Staneva 4, Hylke de Vries 5, Andreas Sterl 5, Jean-Raymond Bidlot 6 ID , Pedro M. A. Miranda 2 ID and Jens Murawski 7 1 Department of Water Science and Engineering, IHE-Delft, P.O. Box 3015, 2601 DA Delft, The Netherlands 2 Instituto Dom Luiz, Faculdade de Ciências, University of Lisbon, 1749-016 Lisbon, Portugal; [email protected] (G.L.); [email protected] (P.M.A.M.) 3 Institute of Oceanography, Center for Earth System Research and Sustainability (CEN), Universität Hamburg, 20095 Hamburg, Germany; [email protected] 4 Helmholtz-Zentrum Geesthacht Centre for Materials and Coastal Research, D-21502 Geesthacht, Germany; [email protected] (A.B.); [email protected] (J.S.) 5 Royal Netherlands Meteorological Institute (KNMI), Utrechtseweg 297, 3731GA De Bilt, The Netherlands; [email protected] (H.d.V.); [email protected] (A.S.) 6 European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading RG2 9AX, UK; [email protected] 7 Danish Meteorological Institute, 2100 Copenhagen Ø, Denmark; [email protected] * Correspondence: [email protected]; Tel.: +31-152-152-387 Received: 22 June 2018; Accepted: 25 July 2018; Published: 1 August 2018 Abstract: A Coupled Model Intercomparison Project Phase 5 (CMIP5)-derived single-forcing, single-model, and single-scenario dynamic wind-wave climate ensemble is presented, and its historic period (1979–2005) performance in representing the present wave climate is evaluated. -
A Case Study of Four Atmospheric River Events Over the Pacific West Coast of the United States Isaac Arseneau1, Dr
A Case Study of Four Atmospheric River Events Over the Pacific West Coast of the United States Isaac Arseneau1, Dr. Wendell Nuss2 1Valparaiso University OCE 1659628 Abstract 2Naval Postgraduate School Atmospheric Rivers (AR) are moisture phenomena related to cyclones which bring moisture and large amounts of precipitation to areas of enhanced elevation along coastal areas. These events bring much of the rain received by the state of California, and the past winter many AR events brought much-needed rain to the region. Four different events from the 2016 fall through 2017 spring seasons are examined to better identify the relative roles of long-range moisture transport versus local moisture fluxes in AR events. Cross-sections of areas and times of interest during each event are generated, along with trajectory analyses of each event which will aid in determining the origin of the moisture being moved over land. Both the cross-sections and the trajectory analysis are taken from the CFSR (Climate Forecast System Reanalysis) model. It is expected that the results of these processes will support the findings of Dacre et al. (2015), which show that the moisture anomaly present during AR events is not actually due to moisture transport directly along the AR itself. Rather, the AR is the result of moisture convergence due to a combination of the warm conveyor belt forcing the ascent of moisture over the warm front and the trailing cold front forcing ascent as it closes the gap between itself and the warm front. The importance of this research is first and foremost evident in the California region, as water conservation in naturally dry areas is extremely important to the ever-expanding cities and communities present there and October 13, 2016 January 17, 2016 February 7, 2016 April 5, 2016 require long-term planning. -
Inland Impacts of Atmospheric River and Tropical Cyclone Extremes on Nitrate Transport and Stable Isotope Measurements
Environmental Earth Sciences (2019) 78:36 https://doi.org/10.1007/s12665-018-8018-x THEMATIC ISSUE Inland impacts of atmospheric river and tropical cyclone extremes on nitrate transport and stable isotope measurements A. Husic1 · J. Fox2 · E. Adams2 · J. Backus3 · E. Pollock4 · W. Ford5 · C. Agouridis5 Received: 30 June 2018 / Accepted: 19 December 2018 © Springer-Verlag GmbH Germany, part of Springer Nature 2019 Abstract Atmospheric rivers and tropical cyclones originate in the tropics and can transport high rainfall amounts to inland temper- − ate regions. The purpose of this study was to investigate the response of nitrate (NO3 ) pathways, concentration peaks, and 15 18 2 18 13 stable isotope (δ NNO3, δ ONO3, δ HH2O, δ OH2O, and δ CDIC) measurements to these extreme events. A tropical cyclone and atmospheric river produced the number one and four ranked events in 2017, respectively, at a Kentucky USA watershed characterized by mature karst topography. Hydrologic responses from the two events were different due to rainfall character- istics with the tropical cyclone producing a steeper rising limb of the spring hydrograph and greater runoff generation to the 2 18 surface stream compared to the atmospheric river. Local minima and maxima of specific conductance, δ HH2O, δ OH2O, and 13 − 15 18 δ CDIC coincided with hydrograph peaks for both events. Minima and maxima of NO 3 , δ NNO3, δ ONO3, and temperature lagged behind the hydrograph peak for both events, and the values continued to be impacted by diffuse recharge during − hydrograph recession. Quick-flow pathways accounted for less than 20% of the total NO3 yield, while intermediate (30%) and slow-flow (50%) pathways composed the remaining load. -
Machine Learning Approaches for Outdoor Air Quality Modelling: a Systematic Review
applied sciences Review Machine Learning Approaches for Outdoor Air Quality Modelling: A Systematic Review Yves Rybarczyk 1,2 and Rasa Zalakeviciute 1,* 1 Intelligent & Interactive Systems Lab (SI2 Lab), Universidad de Las Américas, 170125 Quito, Ecuador; [email protected] 2 Department of Electrical Engineering, CTS/UNINOVA, Nova University of Lisbon, 2829-516 Monte de Caparica, Portugal * Correspondence: [email protected]; Tel.: +351-593-23-981-000 Received: 15 November 2018; Accepted: 8 December 2018; Published: 11 December 2018 Abstract: Current studies show that traditional deterministic models tend to struggle to capture the non-linear relationship between the concentration of air pollutants and their sources of emission and dispersion. To tackle such a limitation, the most promising approach is to use statistical models based on machine learning techniques. Nevertheless, it is puzzling why a certain algorithm is chosen over another for a given task. This systematic review intends to clarify this question by providing the reader with a comprehensive description of the principles underlying these algorithms and how they are applied to enhance prediction accuracy. A rigorous search that conforms to the PRISMA guideline is performed and results in the selection of the 46 most relevant journal papers in the area. Through a factorial analysis method these studies are synthetized and linked to each other. The main findings of this literature review show that: (i) machine learning is mainly applied in Eurasian and North American continents and (ii) estimation problems tend to implement Ensemble Learning and Regressions, whereas forecasting make use of Neural Networks and Support Vector Machines. -
Coupling Multi-Component Models with MPH on Distributed Memory Computer Architectures
Coupling Multi-Component Models with MPH on Distributed Memory Computer Architectures Yun He and Chris Ding Computational Research Division, Lawrence Berkeley National Laboratory University of California, Berkeley, CA 94720, USA [email protected], [email protected] Abstract A growing trend in developing large and complex applications on today’s Teraflop scale computers is to integrate stand-alone and/or semi-independent program components into a comprehensive simulation package. One example is the Community Climate System Model which consists of atmosphere, ocean, land-surface and sea-ice components. Each component is semi-independent and has been developed at a different institution. We study how this multi-component, multi-executable application can run effectively on distributed memory ar- chitectures. For the first time, we clearly identify five effective execution modes and develop the MPH library to support application development utilizing these modes. MPH performs component-name registration, resource allocation and initial component handshaking in a flex- ible way. Keywords: multi-component, multi-executable, component integration, distributed memory architecture, climate modeling, CCSM, PCM. 1 Introduction With rapid increase in computing power of distributed-memory computers, and clusters of Sym- metric Multi-Processors (SMP) application problems grow rapidly both in scale and complexity. Effectively organizing a large and complex simulation program so that it is maintainable, re-usable, sharable and efficient becomes an important task for high performance computing. Building a comprehensive application system utilizing (and modifying) existing codes developed by different groups is a standard development approach. Component-based software engineering (CBSE) is an emerging trend for software develop- ment in both research and applications. -
The State of Climate Modeling in the Great Lakes Basin - a Synthesis in Support of a Workshop Held on June 27, 2019 in Ann Arbor, MI
The State of Climate Modeling in the Great Lakes Basin A Synthesis in Support of a Workshop held on June 27, 2019 in Ann Arbor, MI Report By: Ontario Climate Consortium Date: September 13, 2019 Acknowledgements: This synthesis report has been prepared in partnership by the Ontario Climate Consortium (OCC), and Environment and Climate Change Canada. The authors wish to acknowledge the following individuals for their contributions to this project: Kristina Dokoska, Ontario Climate Consortium Nishal Shah, Ontario Climate Consortium Greg Mayne, Environment and Climate Change Canada Wendy Leger, Environment and Climate Change Canada Frank Seglenieks, Environment and Climate Change Canada Armin Dehghan, Environment and Climate Change Canada Shaffina Kassam, Environment and Climate Change Canada Heather Arnold, Environment and Climate Change Canada Shivani Vigneswaran, Environment and Climate Change Canada Recommended Citation: Delaney, F. and Milner, G. 2019. The State of Climate Modeling in the Great Lakes Basin - A Synthesis in Support of a Workshop held on June 27, 2019 in Ann Arbor, MI. Toronto, Canada. www.climateconnections.com | 2 Table of Contents Executive Summary .......................................................................................................................................................................... 4 1. Introduction ................................................................................................................................................................................... 7 1.1 -
Ocean Fronts and Eddies Force Atmospheric Rivers and Heavy
ARTICLE https://doi.org/10.1038/s41467-021-21504-w OPEN Ocean fronts and eddies force atmospheric rivers and heavy precipitation in western North America ✉ Xue Liu1,2,8, Xiaohui Ma 3,4,8 , Ping Chang 1,2,5, Yinglai Jia3, Dan Fu 1,2, Guangzhi Xu6, Lixin Wu 3,4, R. Saravanan1,5 & Christina M. Patricola 7 Atmospheric rivers (ARs) are responsible for over 90% of poleward water vapor transport in the mid-latitudes and can produce extreme precipitation when making landfall. However, 1234567890():,; weather and climate models still have difficulty simulating and predicting landfalling ARs and associated extreme precipitation, highlighting the need to better understand AR dynamics. Here, using high-resolution climate models and observations, we demonstrate that mesos- cale sea-surface temperature (SST) anomalies along the Kuroshio Extension can exert a remote influence on landfalling ARs and related heavy precipitation along the west coast of North America. Inclusion of mesoscale SST forcing in the simulations results in approximately a 40% increase in landfalling ARs and up to a 30% increase in heavy precipitation in mountainous regions and this remote impact occurs on two-week time scales. The asym- metrical response of the atmosphere to warm vs. cold mesoscale SSTs over the eddy-rich Kuroshio Extension region is proposed as a forcing mechanism that results in a net increase of moisture flux above the planetary boundary layer, prompting AR genesis via enhancing moisture transport into extratropical cyclones in the presence of mesoscale SST forcing. 1 International Laboratory for High-Resolution Earth System Prediction, Texas A&M University, College Station, TX, USA.