Self- and Inter-Crossover Points of Jasons' Missions As New
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A Metric for Quantifying El Niño Pattern Diversity with Implications for ENSO–Mean State Interaction
Climate Dynamics (2019) 52:7511–7523 https://doi.org/10.1007/s00382-018-4194-3 A metric for quantifying El Niño pattern diversity with implications for ENSO–mean state interaction Danielle E. Lemmon1,2 · Kristopher B. Karnauskas1,2 Received: 7 September 2017 / Accepted: 26 March 2018 / Published online: 5 April 2018 © Springer-Verlag GmbH Germany, part of Springer Nature 2018 Abstract Recent research on the El Niño–Southern Oscillation (ENSO) phenomenon increasingly reveals the highly complex and diverse nature of ENSO variability. A method of quantifying ENSO spatial pattern uniqueness and diversity is presented, which enables (1) formally distinguishing between unique and “canonical” El Niño events, (2) testing whether historical model simulations aptly capture ENSO diversity by comparing with instrumental observations, (3) projecting future ENSO diversity using future model simulations, (4) understanding the dynamics that give rise to ENSO diversity, and (5) analyzing the associated diversity of ENSO-related atmospheric teleconnection patterns. Here we develop a framework for measur- ing El Niño spatial SST pattern uniqueness and diversity for a given set of El Niño events using two indices, the El Niño Pattern Uniqueness (EPU) index and El Niño Pattern Diversity (EPD) index, respectively. By applying this framework to instrumental records, we independently confirm a recent regime shift in El Niño pattern diversity with an increase in unique El Niño event sea surface temperature patterns. However, the same regime shift is not observed in historical CMIP5 model simulations; moreover, a comparison between historical and future CMIP5 model scenarios shows no robust change in future ENSO diversity. Finally, we support recent work that asserts a link between the background cooling of the eastern tropical Pacific and changes in ENSO diversity. -
Generation of GOES-16 True Color Imagery Without a Green Band
Confidential manuscript submitted to Earth and Space Science 1 Generation of GOES-16 True Color Imagery without a Green Band 2 M.K. Bah1, M. M. Gunshor1, T. J. Schmit2 3 1 Cooperative Institute for Meteorological Satellite Studies (CIMSS), 1225 West Dayton Street, 4 Madison, University of Wisconsin-Madison, Madison, Wisconsin, USA 5 2 NOAA/NESDIS Center for Satellite Applications and Research, Advanced Satellite Products 6 Branch (ASPB), Madison, Wisconsin, USA 7 8 Corresponding Author: Kaba Bah: ([email protected]) 9 Key Points: 10 • The Advanced Baseline Imager (ABI) is the latest generation Geostationary Operational 11 Environmental Satellite (GOES) imagers operated by the U.S. The ABI is improved in 12 many ways over preceding GOES imagers. 13 • There are a number of approaches to generating true color images; all approaches that use 14 the GOES-16 ABI need to first generate the visible “green” spectral band. 15 • Comparisons are shown between different methods for generating true color images from 16 the ABI observations and those from the Earth Polychromatic Imaging Camera (EPIC) on 17 Deep Space Climate Observatory (DSCOVR). 18 Confidential manuscript submitted to Earth and Space Science 19 Abstract 20 A number of approaches have been developed to generate true color images from the Advanced 21 Baseline Imager (ABI) on the Geostationary Operational Environmental Satellite (GOES)-16. 22 GOES-16 is the first of a series of four spacecraft with the ABI onboard. These approaches are 23 complicated since the ABI does not have a “green” (0.55 µm) spectral band. Despite this 24 limitation, representative true color images can be built. -
Assessment of DUACS Sentinel-3A Altimetry Data in the Coastal Band of the European Seas: Comparison with Tide Gauge Measurements
remote sensing Article Assessment of DUACS Sentinel-3A Altimetry Data in the Coastal Band of the European Seas: Comparison with Tide Gauge Measurements Antonio Sánchez-Román 1,* , Ananda Pascual 1, Marie-Isabelle Pujol 2, Guillaume Taburet 2, Marta Marcos 1,3 and Yannice Faugère 2 1 Instituto Mediterráneo de Estudios Avanzados, C/Miquel Marquès, 21, 07190 Esporles, Spain; [email protected] (A.P.); [email protected] (M.M.) 2 Collecte Localisation Satellites, Parc Technologique du Canal, 8-10 rue Hermès, 31520 Ramonville-Saint-Agne, France; [email protected] (M.-I.P.); [email protected] (G.T.); [email protected] (Y.F.) 3 Departament de Física, Universitat de les Illes Balears, Cra. de Valldemossa, km 7.5, 07122 Palma, Spain * Correspondence: [email protected]; Tel.: +34-971-61-0906 Received: 26 October 2020; Accepted: 1 December 2020; Published: 4 December 2020 Abstract: The quality of the Data Unification and Altimeter Combination System (DUACS) Sentinel-3A altimeter data in the coastal area of the European seas is investigated through a comparison with in situ tide gauge measurements. The comparison was also conducted using altimetry data from Jason-3 for inter-comparison purposes. We found that Sentinel-3A improved the root mean square differences (RMSD) by 13% with respect to the Jason-3 mission. In addition, the variance in the differences between the two datasets was reduced by 25%. To explain the improved capture of Sea Level Anomaly by Sentinel-3A in the coastal band, the impact of the measurement noise on the synthetic aperture radar altimeter, the distance to the coast, and Long Wave Error correction applied on altimetry data were checked. -
Role of Regional Ocean Dynamics in Dynamic Sea Level Projections by the End of the 21St Century Over Southeast Asia
EGU21-8618, updated on 25 Sep 2021 https://doi.org/10.5194/egusphere-egu21-8618 EGU General Assembly 2021 © Author(s) 2021. This work is distributed under the Creative Commons Attribution 4.0 License. Role of Regional Ocean Dynamics in Dynamic Sea Level Projections by the end of the 21st Century over Southeast Asia Dhrubajyoti Samanta1, Svetlana Jevrejeva2, Hindumathi K. Palanisamy2, Kristopher B. Karnauskas3, Nathalie F. Goodkin1,4, and Benjamin P. Horton1 1Nanyang Technological University, Singapore ([email protected]) 2Centre for Climate Research Singapore, Singapore 3University of Colorado Boulder, USA 4American Museum of Natural History, USA Southeast Asia is especially vulnerable to the impacts of sea-level rise due to the presence of many low-lying small islands and highly populated coastal cities. However, our current understanding of sea-level projections and changes in upper-ocean dynamics over this region currently rely on relatively coarse resolution (~100 km) global climate model (GCM) simulations and is therefore limited over the coastal regions. Here using GCM simulations from the High-Resolution Model Intercomparison Project (HighResMIP) of the Coupled Model Intercomparison Project Phase 6 (CMIP6) to (1) examine the improvement of mean-state biases in the tropical Pacific and dynamic sea-level (DSL) over Southeast Asia; (2) generate projection on DSL over Southeast Asia under shared socioeconomic pathways phase-5 (SSP5-585); and (3) diagnose the role of changes in regional ocean dynamics under SSP5-585. We select HighResMIP models that included a historical period and shared socioeconomic pathways (SSP) 5-8.5 future scenario for the same ensemble and estimate the projected changes relative to the 1993-2014 period. -
Editorial for the Special Issue “Remote Sensing of Clouds”
remote sensing Editorial Editorial for the Special Issue “Remote Sensing of Clouds” Filomena Romano Institute of Methodologies for Environmental Analysis, National Research Council (IMAA/CNR), 85100 Potenza, Italy; fi[email protected] Received: 7 December 2020; Accepted: 8 December 2020; Published: 14 December 2020 Keywords: clouds; satellite; ground-based; remote sensing; meteorology; microphysical cloud parameters Remote sensing of clouds is a subject of intensive study in modern atmospheric remote sensing. Cloud systems are important in weather, hydrological, and climate research, as well as in practical applications. Because they affect water transport and precipitation, clouds play an integral role in the Earth’s hydrological cycle. Moreover, they impact the Earth’s energy budget by interacting with incoming shortwave radiation and outgoing longwave radiation. Clouds can markedly affect the radiation budget, both in the solar and thermal spectral ranges, thereby playing a fundamental role in the Earth’s climatic state and affecting climate forcing. Global changes in surface temperature are highly sensitive to the amounts and types of clouds. Hence, it is not surprising that the largest uncertainty in model estimates of global warming is due to clouds. Their properties can change over time, leading to a planetary energy imbalance and effects on a global scale. Optical and thermal infrared remote sensing of clouds is a mature research field with a long history, and significant progress has been achieved using both ground-based and satellite instrumentation in the retrieval of microphysical cloud parameters. This Special Issue (SI) presents recent results in ground-based and satellite remote sensing of clouds, including innovative applications for meteorology and atmospheric physics, as well as the validation of retrievals based on independent measurements. -
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Vol. 62 Bollettino Vol. 62 - SUPPLEMENT 1 pp. 327 di Geofisica An International teorica ed applicata Journal of Earth Sciences IMDIS 2021 International Conference on Marine Data and Information Systems 12-14 April, 2021 Online Book of Abstracts SUPPLEMENT 1 Guest Editors: Michèle Fichaut, Vanessa Tosello, Alessandra Giorgetti BOLLETTINO DI GEOFISICA teorica ed applicata 210109 - OGS.Supp.Vol62.cover_08dorso19.indd 3 03/05/21 10:54 EDITOR-IN-CHIEF D. Slejko; Trieste, Italy EDITORIAL COUNCIL SUBSCRIPTIONS 2021 A. Camerlenghi, N. Casagli, F. Coren, P. Del Negro, F. Ferraccioli, S. Parolai, G. Rossi, C. Solidoro; Trieste, Italy ASSOCIATE EDITORS A. SOLID EaRTH GeOPHYsICs N. Abu-Zeid; Ferrara, Italy J. Ba; Nanjing, China R. Barzaghi; Milano, Italy J. Boaga; Padova, Italy C. Braitenberg; Trieste, Italy A. Casas; Barcelona, Spain G. Cassiani; Padova, Italy F. Cavallini; Trieste, Italy A. Del Ben; Trieste, Italy P. dell’Aversana; San Donato Milanese, Italy C. Doglioni; Roma, Italy F. Ferrucci, Vibo Valentia, Italy E. Forte; Trieste, Italy M.-J. Jimenez; Madrid, Spain C. Layland-Bachmann, Berkeley, U.S.A. Bollettino di Geofisica Teorica ed Applicata G. Li; Zhoushan, China c/o Istituto Nazionale di Oceanografia P. Paganini; Trieste, Italy e di Geofisica Sperimentale V. Paoletti, Naples, Italy Borgo Grotta Gigante, 42/c E. Papadimitriou; Thessaloniki, Greece 34010 Sgonico, Trieste, Italy R. Petrini; Pisa, Italy e-mail: [email protected] M. Pipan; Trieste, Italy G. Seriani; Trieste, Italy http-server: bgta.eu A. Shogenova; Tallin, Estonia E. Stucchi; Milano, Italy S. Trevisani; Venezia, Italy M. Vellico; Trieste, Italy A. Vesnaver; Trieste, Italy V. Volpi; Trieste, Italy A. -
Cassini RADAR Sequence Planning and Instrument Performance Richard D
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 47, NO. 6, JUNE 2009 1777 Cassini RADAR Sequence Planning and Instrument Performance Richard D. West, Yanhua Anderson, Rudy Boehmer, Leonardo Borgarelli, Philip Callahan, Charles Elachi, Yonggyu Gim, Gary Hamilton, Scott Hensley, Michael A. Janssen, William T. K. Johnson, Kathleen Kelleher, Ralph Lorenz, Steve Ostro, Member, IEEE, Ladislav Roth, Scott Shaffer, Bryan Stiles, Steve Wall, Lauren C. Wye, and Howard A. Zebker, Fellow, IEEE Abstract—The Cassini RADAR is a multimode instrument used the European Space Agency, and the Italian Space Agency to map the surface of Titan, the atmosphere of Saturn, the Saturn (ASI). Scientists and engineers from 17 different countries ring system, and to explore the properties of the icy satellites. have worked on the Cassini spacecraft and the Huygens probe. Four different active mode bandwidths and a passive radiometer The spacecraft was launched on October 15, 1997, and then mode provide a wide range of flexibility in taking measurements. The scatterometer mode is used for real aperture imaging of embarked on a seven-year cruise out to Saturn with flybys of Titan, high-altitude (around 20 000 km) synthetic aperture imag- Venus, the Earth, and Jupiter. The spacecraft entered Saturn ing of Titan and Iapetus, and long range (up to 700 000 km) orbit on July 1, 2004 with a successful orbit insertion burn. detection of disk integrated albedos for satellites in the Saturn This marked the start of an intensive four-year primary mis- system. Two SAR modes are used for high- and medium-resolution sion full of remote sensing observations by a dozen instru- (300–1000 m) imaging of Titan’s surface during close flybys. -
Radar Remote Sensing - S
GEOINFORMATICS – Vol. I - Radar Remote Sensing - S. Quegan RADAR REMOTE SENSING S. Quegan Sheffield Centre for Earth Observation Science, University of Sheffield, U.K. Keywords: Scatterometry, altimetry, synthetic aperture radar, SAR, microwaves, scattering models, geocoding, radargrammetry, interferometry, differential interferometry, topographic mapping, digital elevation model, agriculture, forestry, hydrology, soil moisture, earthquakes, floods, oceanography, sea ice, land ice, snow Contents 1. Introduction 2. Basic Properties of Radar Systems 3. Characteristics of Radar Systems 4. What a Radar Measures 5. Radar Sensors and Their Applications 6. Synthetic Aperture Radar Applications 7. Future Prospects Glossary Bibliography Biographical Sketch Summary Radar sensors transmit radiation at radio wavelengths (i.e. from around 1 cm to several meters) and use the measured return to infer properties of the earth’s surface. The surface properties affecting the return (of which the most important are the dielectric constant and geometrical structure) are very different from those determining observations at optical and infrared frequencies. Hence radar offers distinctive perspectives on the earth. In addition, the transparency of the atmosphere at radar wavelengths means that cloud does not prevent observation of the earth, so radar is well suited to monitoring purposes. Three types of spaceborne radar instrument are particularly important. Scatterometers make very accurate measurements of the backscatter fromUNESCO the earth, their most impor –tant EOLSSuse being to derive wind speeds and directions over the ocean. Altimeters measure the distance between the satellite platform and the surface to centimetric accuracy, from which several important geophysical quantities can be recovered, such as the topography of the ocean surface and its variation, oceanSAMPLE currents, significant wave height, CHAPTERS and the mass balance and dynamics of the major ice sheets. -
Shallow Water Waves and Solitary Waves Article Outline Glossary
Shallow Water Waves and Solitary Waves Willy Hereman Department of Mathematical and Computer Sciences, Colorado School of Mines, Golden, Colorado, USA Article Outline Glossary I. Definition of the Subject II. Introduction{Historical Perspective III. Completely Integrable Shallow Water Wave Equations IV. Shallow Water Wave Equations of Geophysical Fluid Dynamics V. Computation of Solitary Wave Solutions VI. Water Wave Experiments and Observations VII. Future Directions VIII. Bibliography Glossary Deep water A surface wave is said to be in deep water if its wavelength is much shorter than the local water depth. Internal wave A internal wave travels within the interior of a fluid. The maximum velocity and maximum amplitude occur within the fluid or at an internal boundary (interface). Internal waves depend on the density-stratification of the fluid. Shallow water A surface wave is said to be in shallow water if its wavelength is much larger than the local water depth. Shallow water waves Shallow water waves correspond to the flow at the free surface of a body of shallow water under the force of gravity, or to the flow below a horizontal pressure surface in a fluid. Shallow water wave equations Shallow water wave equations are a set of partial differential equations that describe shallow water waves. 1 Solitary wave A solitary wave is a localized gravity wave that maintains its coherence and, hence, its visi- bility through properties of nonlinear hydrodynamics. Solitary waves have finite amplitude and propagate with constant speed and constant shape. Soliton Solitons are solitary waves that have an elastic scattering property: they retain their shape and speed after colliding with each other. -
Transits of the Northwest Passage to End of the 2020 Navigation Season Atlantic Ocean ↔ Arctic Ocean ↔ Pacific Ocean
TRANSITS OF THE NORTHWEST PASSAGE TO END OF THE 2020 NAVIGATION SEASON ATLANTIC OCEAN ↔ ARCTIC OCEAN ↔ PACIFIC OCEAN R. K. Headland and colleagues 7 April 2021 Scott Polar Research Institute, University of Cambridge, Lensfield Road, Cambridge, United Kingdom, CB2 1ER. <[email protected]> The earliest traverse of the Northwest Passage was completed in 1853 starting in the Pacific Ocean to reach the Atlantic Oceam, but used sledges over the sea ice of the central part of Parry Channel. Subsequently the following 319 complete maritime transits of the Northwest Passage have been made to the end of the 2020 navigation season, before winter began and the passage froze. These transits proceed to or from the Atlantic Ocean (Labrador Sea) in or out of the eastern approaches to the Canadian Arctic archipelago (Lancaster Sound or Foxe Basin) then the western approaches (McClure Strait or Amundsen Gulf), across the Beaufort Sea and Chukchi Sea of the Arctic Ocean, through the Bering Strait, from or to the Bering Sea of the Pacific Ocean. The Arctic Circle is crossed near the beginning and the end of all transits except those to or from the central or northern coast of west Greenland. The routes and directions are indicated. Details of submarine transits are not included because only two have been reported (1960 USS Sea Dragon, Capt. George Peabody Steele, westbound on route 1 and 1962 USS Skate, Capt. Joseph Lawrence Skoog, eastbound on route 1). Seven routes have been used for transits of the Northwest Passage with some minor variations (for example through Pond Inlet and Navy Board Inlet) and two composite courses in summers when ice was minimal (marked ‘cp’). -
Coriolis Quality Control Manual
direction de la technologie marine et des systèmes d'information département informatique et données marines Christine Coatanoan Loïc Petit De La Villéon March 2005 – COR-DO/DTI-RAP/04-047 Coriolis data centre Coriolis-données In-situ data quality control Contrôle qualité des données in-situ Coriolis data center In-situ data quality control procedures Contrôle qualité des données in-situ © IFREMER-CORIOLIS Tous droits réservés. La loi du 11 mars 1957 interdit les copies ou reproductions destinées à une utilisation collective. Toute représentation ou reproduction intégrale ou partielle faite par quelque procédé que ce soit (machine électronique, mécanique, à photocopier, à enregistrer ou tout autre) sans le consentement de l'auteur ou de ses ayants cause, est illicite et constitue une contrefaçon sanctionnée par les articles 425 et suivants du Code Pénal. © IFREMER-CORIOLIS All rights reserved. No part of this work covered by the copyrights herein may be reproduced or copied in any form or by any means – electronic, graphic or mechanical, including photocopying, recording, taping or information and retrieval systems - without written permission. COR-DO/DTI-RAP/04-047 25/03/2005 Coriolis-données Titre/ Title : In-situ data quality control procedures Contrôle qualité des données in-situ Titre traduit : Reference : COR-DO/DTI-RAP/04-047 nombre de pages 15 Date : 25/03/2005 bibliographie (Oui / Non) Version : 1.3 illustration(s) (Oui / Non) langue du rapport Diffusion : libre restreinte interdite Nom Date Signature Diffusion Attribution Nb ex. Préparé par : Christine Coatanoan 15/05/2004 Loïc Petit De La Villéon Vérifié par : Thierry Carval 04/06/2004 COR-DO/DTI-RAP/04-047 25/03/2005 Résumé : Ce document décrit l’ensemble des tests de contrôle qualité appliqués aux données gérées par le centre de données Coriolis Abstract : This document describes the quality control tests applied on the in situ data processed at the Coriolis Data Centre Mots-clés : Contrôle qualité. -
Interactive Comment on “C-Glorsv5: an Improved Multi-Purpose Global Ocean Eddy-Permitting Physical Reanalysis” by Andrea Storto and Simona Masina
Discussions Earth System Earth Syst. Sci. Data Discuss., Science doi:10.5194/essd-2016-38-RC1, 2016 ESSDD © Author(s) 2016. CC-BY 3.0 License. Open Access Data Interactive comment Interactive comment on “C-GLORSv5: an improved multi-purpose global ocean eddy-permitting physical reanalysis” by Andrea Storto and Simona Masina Anonymous Referee #1 Received and published: 28 September 2016 This article generates an updated version of a previous Global reanalysis data. Part of the derived products has been made available in NetCDF format at doi:10.1594/PANGAEA.857995. The method used in generating the data has a num- ber of improvements in comparing with the one used in the old version. As a global ocean reanalysis dataset, they can be useful in many areas. Methods and materials are mostly described in sufficient detail to support the data. Printer-friendly version It is observed that there exist similar global reanalysis datasets, e.g., in in ma- rine.copernicus.eu, ECCO or US HYCOM etc. Many components of the method de- Discussion paper scription have also been published by the authors in other papers. However, these products haven’t been inter-compared with the V5 data, either qualitatively or quanti- C1 tatively. This makes it difficult to evaluate the “state-of-the-art” and “uniqueness” of the data. ESSDD The new data (V5) have been validated and compared with the old data (V4), which shows improvements in simulating variability of the sea ice and AMOC. However some Interactive features of the products have been degraded. Overall T/S validation in Fig.5 shows that comment only water temperature in upper 80m in V5 has smaller RSME than V4, T/S in other layers for V5 are worse than V4.