The main goal of RCOFs is to provide consensus
regional seasonal climate outlooks for applications in key socioeconomic sectors in support of resilience building for sustainable development.
Not exact matches
By working on the still - not - fully - cracked nut of estimating changes in hurricane frequency and intensity in a warming
climate, Gabe and his colleagues ended up with a modeling system with
seasonal skill in
regional hurricane prediction.
After all, people readily tolerate much larger
regional and
seasonal climate variations.
«Given the current uncertainties in both the reconstruction and model sensitivity, however, this model - data discrepancy could be attributed to either the
seasonal bias in the SST reconstructions or the model bias in
regional and
seasonal climate sensitivity.
There can / will be local and
regional, latitudinal, diurnal and
seasonal, and internal variability - related deviations to the pattern (in temperature and in optical properties (LW and SW) from components (water vapor, clouds, snow, etc.) that vary with weather and
climate), but the global average effect is at least somewhat constrained by the global average vertical distribution of solar heating, which requires the equilibrium net convective + LW fluxes, in the global average, to be sizable and upward at all levels from the surface to TOA, thus tending to limit the extent and magnitude of inversions.)
In Texas, it is now being reported, indications are of many lost crops and lost beef production due to a drier
regional climate (see graphic above for latest
seasonal drought trend).
With this service,
seasonal predictions, reanalyses and
climate projections will be provided free of charge in the form of global and
regional plots in real time.
A top - down
climate effect that shows long - term drift (and may also be out of phase with the bottom - up solar forcing) would change the spatial response patterns and would mean that
climate - chemistry models that have sufficient resolution in the stratosphere would become very important for making accurate
regional /
seasonal climate predictions.
Recent government contracts for CFAN include a DOE contract to develop extended range
regional wind power forecasts, a DOD contract to predict extreme events associated with
climate variability / change having implications for
regional stability, and a NOAA contract to improve sub
seasonal forecasting.
Moreover, our simulation captures major
seasonal and
regional characteristics of the hiatus, including the intensified Walker circulation, the winter cooling in northwestern North America and the prolonged drought in the southernUSA.Our results show that the current hiatus is part of natural
climate variability, tied specifically to aLa - Nina - like decadal cooling.
Copernicus
Climate Change Service (C3S) will produce and share regional climate reanalyses, seasonal forecasts, global and regional climate projections and health specific climate indi
Climate Change Service (C3S) will produce and share
regional climate reanalyses, seasonal forecasts, global and regional climate projections and health specific climate indi
climate reanalyses,
seasonal forecasts, global and
regional climate projections and health specific climate indi
climate projections and health specific
climate indi
climate indicators.
The use of anomalies avoids this
seasonal /
regional variation, because when the
climate isn't changing, neither will be the anomalies except for local noise.
The
regional arrays provide a sampling of ocean conditions around the world that is designed to produce an integrated data set that can be used to address questions related to physical - biogeochemical coupling in eddies, phytoplankton phenology (cyclic and
seasonal phenomena), nutrient supply, and
climate effects on ocean carbon cycling in selected regions.
«A
climate pattern may come in the form of a regular cycle, like the diurnal cycle or the
seasonal cycle; a quasi periodic event, like El Niño; or a highly irregular event, such as a volcanic winter... A mode of variability is a
climate pattern with identifiable characteristics, specific
regional effects, and often oscillatory behavior... the mode of variability with the greatest effect on
climates worldwide is the
seasonal cycle, followed by El Niño - Southern Oscillation, followed by thermohaline circulation.»
Using an ensemble of four high resolution (~ 25 km)
regional climate models, this study analyses the future (2021 - 2050) spatial distribution of
seasonal temperature and precipitation extremes in the Ganges river basin based on the SRES A1B emissions scenario.
The mitigation focus is on global
climate and the century time scale, whereas the adaptation focus is
regional and on timescales from the
seasonal to decadal.
«Multi-model
seasonal forecast of Arctic sea - ice forecast uncertainty at pan-Arctic and
regional scales»
Climate Dynamics (49: 1399, doi: 10.1007 / s00382 -016-3388-9).
«Skeptics» have not produced GCMs so that they can evaluate its
seasonal and
regional variations before going on to
climate change.
After all, people readily tolerate much larger
regional and
seasonal climate variations.
This paper aims to address the question of how the runoff extremes change in the future compared to the historical time period, investigate the different behaviors of the
regional climate models (RCMs) regarding the runoff extremes and assess the
seasonal variations of runoff extremes.
Designed as a distributed system, providing improved access to existing datasets through a unified web interface, the CDS will include, but is not limited to, observations, global and
regional climate reanalyses, global and
regional climate projections and
seasonal forecasts.
Simulations by
regional climate models show good agreement with observations in the
seasonal and spatial variability of the joint distribution, especially when an ensemble of simulations was used.
That we tend to see much more discussion about global warming is I think because of the limitations of the
climate models when they go to more
regional and
seasonal predictions and refinements of max versus min temperature trends.
ECMWF as the Entrusted Entity for the Copernicus
Climate Change Service (C3S) is building a Climate Data Store (CDS) that will provide open and free access to quality - assured climate observations, global and regional Essential Climate Variable (ECV) products derived from observations, global and regional climate reanalyses, seasonal forecast data and model - generated future climate change sce
Climate Change Service (C3S) is building a
Climate Data Store (CDS) that will provide open and free access to quality - assured climate observations, global and regional Essential Climate Variable (ECV) products derived from observations, global and regional climate reanalyses, seasonal forecast data and model - generated future climate change sce
Climate Data Store (CDS) that will provide open and free access to quality - assured
climate observations, global and regional Essential Climate Variable (ECV) products derived from observations, global and regional climate reanalyses, seasonal forecast data and model - generated future climate change sce
climate observations, global and
regional Essential
Climate Variable (ECV) products derived from observations, global and regional climate reanalyses, seasonal forecast data and model - generated future climate change sce
Climate Variable (ECV) products derived from observations, global and
regional climate reanalyses, seasonal forecast data and model - generated future climate change sce
climate reanalyses,
seasonal forecast data and model - generated future
climate change sce
climate change scenarios.
Our results point to the need for future observational and modeling studies to focus on the
regional and
seasonal characteristics of Antarctic
climate change, the
regional response to ozone depletion, the influence of tropical variability and
climate change on Antarctic
climate, and on the mechanisms that link sea ice and air temperature in Antarctica.
The
seasonal and
regional characteristics of the Antarctic temperature datasets make them useful for interpreting the physical mechanisms that drive Antarctic
climate variability, and for informing future interpretations and model evaluations of Antarctic
climate change.
This is especially true for smaller (
seasonal and
regional) scales and weather and
climate extremes, and for important hydroclimatic variables such as precipitation and water availability.
The
climate information provided for this purpose is derived from observations, global and
regional reanalyses,
seasonal forecast data,
climate model simulations, and other data needed to estimate or project sectoral impacts.
Using
seasonal forecast SSTs instead of observations to drive the
regional climate model allows scientists to disentangle the influence of low - frequency
climate modes like El Nino from human - induced warming.
In particular, the research indicates that
seasonal and
regional changes in temperature and, to a certain degree, precipitation can be estimated solely on the basis of carbon dioxide emissions, which makes it simpler to study the effects of
climate change.
Persistent small
climate changes are difficult to detect within the diurnal,
regional, and
seasonal variance of Earth's reflected (shortwave) and emitted (longwave) energy — hence a continuous long - term (decades) record of Earth's radiation budget (ERB) is needed to identify subtle long - term shifts related to
climate change.4 With the demanifesting of TSIS and ERBS from NPOESS, ERB measurements will end with the last CERES on Aqua (or perhaps NPP, pending addition of CERES FM - 5 onto NPP), the TIM record will end with Glory, and the SIM record with SORCE.
Providing reliable
climate projections on
regional and local,
seasonal and decadal scales is a complex scientific challenge that the Met Office is in a unique position to meet.
GFDL scientists focus on model - building relevant for society, such as hurricane research, weather and ocean prediction,
seasonal forecasting, and understanding global and
regional climate change.
«One of the perennial concerns about possibilities for modifying the earth's radiation balance has been that even if these methods could compensate for increased GHGs in the global and annual mean, they might have very different spatial and temporal effects and impact the
regional and
seasonal climates in a very different way than GHGs.
Recent analyses using the CCM3
climate model (Govindasamy and Caldeira, 2000) suggest, however, that a 1.7 % decrease in solar luminosity would closely counterbalance a doubling of CO2 at the
regional and
seasonal scale (in addition to that at the global and annual scale) despite differences in radiative forcing patterns.»