scholarly journals The Arctic Carbon Monitoring and Forecasting System: a novel forecasting framework to build new understanding and reduce model uncertainty of the permafrost carbon-climate feedback.

2021 ◽  
Author(s):  
ELCHIN JAFAROV ◽  
Helene Genet ◽  
Valeria Briones ◽  
Brendan Rogers ◽  
Jennifer Watts ◽  
...  
Keyword(s):  
Model Uncertainty ◽  
Climate Feedback ◽  
The Arctic ◽  
System A ◽  
Monitoring And Forecasting ◽  
Forecasting System

scholarly journals Poseidon: A marine environmental monitoring, forecasting and information system for the Greek seas

2000 ◽  
Vol 1 (1) ◽  
pp. 71 ◽  
Author(s):  
T.H. SOUKISSIAN ◽  
G. CHRONIS
Keyword(s):  
Marine Ecosystem ◽  
Coastal Zone Management ◽  
Aegean Sea ◽  
Sea Transport ◽  
Marine Research ◽  
Zone Management ◽  
Operational Oceanography ◽  
Monitoring And Forecasting ◽  
Forecasting System ◽  
Marine Environmental

The scope of this work is twofold: i) to discuss and analyze some principles, issues and problems related to the development and advancement of Operational Oceanography in Greece and ii) to present a real-time monitoring and forecasting system for the Aegean Sea, which is currently under implementation. Operational Oceanography in Greece has become a necessity today, since it can provide aid to find solutions on problems related to societal, economic, environmental and scientific issues. Most of the Greek coastal regions are under pressure, susceptible to damages due to the increasing tendency of the population to move from the inland to the coast, marine environmental pollution, competitive development of the coastal market sector, etc. Moreover, the complex geomorphology of the coastal areas and the interdependence between natural processes and human activities causes significant alterations in this delicate environment. A rational treatment of these problems can be based on integrated coastal zone management (ICZM). An absolutely necessary means for establishing ICZM is the operation of marine moni- toring systems. Such a system ("POSEIDON system") is under implementation by the National Centre for Marine Research. POSEIDON is a comprehensive marine monitoring and forecasting system, that aims to improve environmental surveillance and facilitate sea transport, rescue and safety of life at sea, fishing and aquaculture, protection of the marine ecosystem, etc. POSEIDON is expected to enhance considerably the capabilities to manage, protect and develop the marine resources of the Greek Seas and to promote Greek Operational Oceanography.

scholarly journals Data assimilation of dust aerosol observations for CUACE/Dust forecasting system

2007 ◽  
Vol 7 (3) ◽  
pp. 8309-8332 ◽  
Author(s):  
T. Niu ◽  
S. L. Gong ◽  
G. F. Zhu ◽  
H. L. Liu ◽  
X. Q. Hu ◽  
...  
Keyword(s):  
Data Assimilation ◽  
Atmospheric Chemistry ◽  
Three Dimensional ◽  
System A ◽  
Source Regions ◽  
Operational Forecasts ◽  
Forecasting System ◽  
Dust Loading ◽  
Data Assimilation System ◽  
Assimilation System

Abstract. A data assimilation system (DAS) was developed for the Chinese Unified Atmospheric Chemistry Environment – Dust (CUACE/Dust) forecast system and applied in the operational forecasts of sand and dust storm (SDS) in spring 2006. The system is based on a three dimensional variational method (3D-Var) and uses extensively the measurements of surface visibility and dust loading retrieval from the Chinese geostationary satellite FY-2C. The results show that a major improvement to the capability of CUACE/Dust in forecasting the short-term variability in the spatial distribution and intensity of dust concentrations has been achieved, especially in those areas far from the source regions. The seasonal mean Threat Score (TS) over the East Asia in spring 2006 increased from 0.22 to 0.31 by using the data assimilation system, a 41% enhancement. The assimilation results usually agree with the dust loading retrieved from FY-2C and visibility distribution from surface meteorological stations, which indicates that the 3D-Var method is very powerful for the unification of observation and numerical modeling results.

Using Grid Computing and Satellite Remote Sensing in Evapotranspiration Estimation

2015 ◽  
pp. 145-173
Author(s):  
Cristina Serban ◽  
Carmen Maftei
Keyword(s):  
Remote Sensing ◽  
Grid Computing ◽  
Land Surface ◽  
Essential Role ◽  
Satellite Image ◽  
Vegetation Indices ◽  
Computing Services ◽  
Monitoring And Forecasting ◽  
Forecasting System ◽  
Evapotranspiration Estimation

The most advanced and applicable approach today in the development of environmental monitoring programs is the integration of remote sensing and Grid computing services into a monitoring and forecasting system that helps the analyst to understand the problem without being a remote sensing or computer expert. In this chapter we present the main features of Grid computing and how we can use it in conjunction with remote sensing to develop several applications that will estimate ET (Evapotranspiration), LST (Land Surface Temperature) and some vegetation indices (VI's) directly from a satellite image, these parameters playing an essential role in all activities related to water resources management.

scholarly journals TOWARD A MONITORING AND FORECASTING SYSTEM FOR ATMOSPHERIC COMPOSITION

2008 ◽  
Vol 89 (8) ◽  
pp. 1147-1164 ◽  
Author(s):  
A. Hollingsworth ◽  
R. J. Engelen ◽  
C. Textor ◽  
A. Benedetti ◽  
O. Boucher ◽  
...  
Keyword(s):  
Atmospheric Composition ◽  
Monitoring And Forecasting ◽  
Forecasting System

Westerly Wind Events and the 1997/98 El Niño Event in the ECMWF Seasonal Forecasting System: A Case Study

2003 ◽  
Vol 16 (19) ◽  
pp. 3153-3170 ◽  
Author(s):  
Frédéric Vitart ◽  
Magdalena Alonso Balmaseda ◽  
Laura Ferranti ◽  
David Anderson
Keyword(s):  
El Niño ◽  
El Nino ◽  
Seasonal Forecasting ◽  
Westerly Wind ◽  
El Niño Event ◽  
System A ◽  
Forecasting System ◽  
Wind Events ◽  
Westerly Wind Events

scholarly journals Uncertainty in Twenty-First-Century CMIP5 Sea Level Projections

2015 ◽  
Vol 28 (2) ◽  
pp. 838-852 ◽  
Author(s):  
Christopher M. Little ◽  
Radley M. Horton ◽  
Robert E. Kopp ◽  
Michael Oppenheimer ◽  
Stan Yip
Keyword(s):  
Sea Level ◽  
Model Uncertainty ◽  
Internal Variability ◽  
Climate System ◽  
First Century ◽  
The Arctic ◽  
Management Approach ◽  
Local Risk ◽  
Twenty First Century ◽  
Global And Local

Abstract The representative concentration pathway (RCP) simulations included in phase 5 of the Coupled Model Intercomparison Project (CMIP5) quantify the response of the climate system to different natural and anthropogenic forcing scenarios. These simulations differ because of 1) forcing, 2) the representation of the climate system in atmosphere–ocean general circulation models (AOGCMs), and 3) the presence of unforced (internal) variability. Global and local sea level rise projections derived from these simulations, and the emergence of distinct responses to the four RCPs depend on the relative magnitude of these sources of uncertainty at different lead times. Here, the uncertainty in CMIP5 projections of sea level is partitioned at global and local scales, using a 164-member ensemble of twenty-first-century simulations. Local projections at New York City (NYSL) are highlighted. The partition between model uncertainty, scenario uncertainty, and internal variability in global mean sea level (GMSL) is qualitatively consistent with that of surface air temperature, with model uncertainty dominant for most of the twenty-first century. Locally, model uncertainty is dominant through 2100, with maxima in the North Atlantic and the Arctic Ocean. The model spread is driven largely by 4 of the 16 AOGCMs in the ensemble; these models exhibit outlying behavior in all RCPs and in both GMSL and NYSL. The magnitude of internal variability varies widely by location and across models, leading to differences of several decades in the local emergence of RCPs. The AOGCM spread, and its sensitivity to model exclusion and/or weighting, has important implications for sea level assessments, especially if a local risk management approach is utilized.

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