Sentences with phrase «with seasonal patterns»

Seasonal affective disorder (SAD), also known as major depressive disorder (MDD) with seasonal pattern, is a form of depression.

Seasonal affective disorder (SAD), also known as major depressive disorder (MDD) with seasonal pattern, is a form of depression.

Additionally, both bipolar and depression (i.e., in major depressive disorder) can occur with anxious distress, with a seasonal pattern, with psychotic features, with peripartum onset, with melancholia, and with atypical features.

Seasonal affective disorder (SAD), also known as major depressive disorder (MDD) with seasonal pattern, is a form of depression.

Not exact matches

Therefore, it is very important that the gardener becomes familiar with the seasonal growth pattern of the pepper.

By purchasing maternity swimwear in black or a solid color, you reduce the chances of the pattern being «so last year», and by choosing a color that is within your own color pallet you won't end up with a trendy seasonal color that goes out of style.

People suffering from depression and mania, for example, frequently have altered sleeping patterns, as do those with seasonal affective disorder (SAD).

The mechanisms behind seasonal influenza outbreaks are unclear, but understanding these patterns could help health officials wrangle with a notoriously mercurial medical specter caused by a rapidly mutating virus.

Using virus histochemical analysis, the investigators looked at the pattern of attachment of two genetically engineered emerging H7 viruses (containing the hemagglutinin (HA) of either influenza virus A / Shanghai / 1 / 13 or A / Anhui / 1 / 13) to fixed human respiratory tract tissues and compared the findings to attachment patterns seen with human influenza viruses with high transmissibility but low virulence (seasonal H3N2 and pandemic H1N1) and highly pathogenic avian influenza (HPAI) viruses with low transmissibility and high virulence (H5N1 and H7N7).

This is exactly the opposite pattern seen with seasonal influenza, which primarily causes severe disease in the elderly.

This seems to be associated with particular patterns of change in sea surface temperature in the Atlantic and Pacific oceans, a teleconnection which is well - captured in climate models on seasonal timescales.

Seasonal Affective Disorder is, as the name suggests, reoccurring periods of depression that seem to coincide with seasonal weather pSeasonal Affective Disorder is, as the name suggests, reoccurring periods of depression that seem to coincide with seasonal weather pseasonal weather patterns.

He also performed an extensive analysis of over 20,000 samples of dairy products sent to him at two - week or four - week intervals from all over the world and created charts of the seasonal fluctuation of the amounts of fat - soluble vitamins in the butter and found that in each district, the government records for pneumonia and heart disease showed a pattern inversely associated with the fat - soluble vitamin content, which was one of many pieces of evidence supporting his theory that tooth decay and other degenerative diseases shared a common nutritional cause.

For the discerning hosts of all stripes: designed for sweet treats, with a bit of seasonal style, these preppy - chic ceramic plates have a fun stripe pattern — while a gold rim adds a bit of bling.

I'm not sure I'll manage through it any better than I did last year, but I know I'll be curing my seasonal depression with plenty of rich colors, moody patterns, and luxe - looking accessories.

Stars go against the seasonal style rules and wear dresses with fresh floral patterns on moody black backgrounds.

Old school sportswear inspired sock complete with Wills branding and seasonal patterns.

I wear a high - waisted bikini combined with a kimono, a summer look perfect for the beach and for a walk by the sea that I have chosen for my stay in Puglia; a total look based on stripes, the seasonal trend that will continue for the coming autumn / winter (discover the fashion winter 2016), in black and white with floral prints that interrupt a geometric pattern.

A classic long line striped shirt is given a seasonal update with an applique front, creating a dainty pattern across the blue and white stripe.

Fun, seasonal activities to support EYs and SEN learners with counting, matching, identifying patterns and creative thinking.

Articles match a strategized editorial calendar that coincides with current trends, consumer reading habits and seasonal buying patterns.

All told, this feels like a seasonal spec bump to us, though Acer also took the opportunity to tweak the design, trading in that soft - touch finish for a harder plastic back with a fine dot pattern.

According to publishers, these figures are consistent with seasonal buying patterns; in particular, a return to print editions after the post-holiday period of buying, or «loading,» of e-Books into e-reader devices.

There are three main seasonal and cyclical patterns that have stood the test of time and consistently provide me with an edge in managing my portfolios: the four - year Presidential Election / Stock Market Cycle, the Best Six Months Switching Strategy and January's basket of indicators and trading strategies.

Guest accommodation has a bright and welcoming ambience, interiors of light tones, patterned drapes and fabrics of fresh summer colours, light wood furnishings on cool tiled flooring and modern amenities for your convenience; features include a private furnished balcony with countryside or sea view, seasonal air - conditioning, en suite bathroom with hair dryer, satellite TV, direct dial telephone, a mini bar (stocked on request: chargeable), a safe box for hire, twin beds and comfortable seating.

Information on seasonal presence, movement and general distribution patterns of large whales is shared with mariners, NMFS Office of Protected Resources, US Coast Guard, California Department of Fish and Game, the Santa Barbara Museum of Natural History, the Marine Exchange of Southern California, and whale scientists.

«That seasonal consistency is encouraging... With both delinquencies and debt levels remaining quite low relative to historical norms, we are confident in the continued stability of credit card usage patterns in the short term.»

Spooks in Mornington Peninsula is an exposed beach break that has unreliable waves with no particular seasonal pattern.

DuckPool in North Cornwall is an exposed beach break that has unreliable waves with no particular seasonal pattern.

Harlyn Surf Harlyn in North Cornwall is a sheltered beach break that only works once in a while with no particular seasonal pattern.

The pattern would respond to externally forced diurnal and seasonal and orbital - scale cycles with some lag time from thermal and mechanical and compositional, etc, inertia, but with a constant pattern of heat accumulation and depletion over each cycle.

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.)

(57m) However, externally imposed forcings with a global average externally imposed RF may tend to cause similar climatic responses both in the global average and in regional / latitudinal and seasonal (modulation of response to external - forcing cycles that themselves are held constant) and internal variability patterns, provided they are not too idiosyncratic.

Moreover, the seasonal, regional, and atmospheric patterns of rising temperatures — greater warming in winters than summers, greater warming at high latitudes than near the equator, and a cooling in the stratosphere while the lower atmosphere is warmer — jibe with what computer models predict should happen with greenhouse heating.

But the cause - and - effect argument that you are mounting must confront a more serious problem: according to my calculations, the seasonal pattern of the recent change in rainfall in south - eastern Australia is completely at odds with CSIRO's projections.

Tropospheric methane in northern Finland: seasonal variations, transport patterns and correlations with other trace gases.

For the entire Northern Hemisphere, there is evidence of an increase in both storm frequency and intensity during the cold season since 1950,1 with storm tracks having shifted slightly towards the poles.2, 3 Extremely heavy snowstorms increased in number during the last century in northern and eastern parts of the United States, but have been less frequent since 2000.11,15 Total seasonal snowfall has generally decreased in southern and some western areas, 16 increased in the northern Great Plains and Great Lakes region, 16,17 and not changed in other areas, such as the Sierra Nevada, although snow is melting earlier in the year and more precipitation is falling as rain versus snow.18 Very snowy winters have generally been decreasing in frequency in most regions over the last 10 to 20 years, although the Northeast has been seeing a normal number of such winters.19 Heavier - than - normal snowfalls recently observed in the Midwest and Northeast U.S. in some years, with little snow in other years, are consistent with indications of increased blocking (a large scale pressure pattern with little or no movement) of the wintertime circulation of the Northern Hemisphere.5 However, conclusions about trends in blocking have been found to depend on the method of analysis, 6 so the assessment and attribution of trends in blocking remains an active research area.

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.

But certainly models with such a grand name as «General Circulation Model», would include average diurnal atmospheric circulation patterns in tropics, and diurnal and seasonal patterns at latitudes outside the tropics, as well as heat transfer to the deeper ocean.

The observation that a global warming or cooling trend can be discerned from seasonal weather patterns seems to be unique to me and will be dealt with in more detail in my next article.

Perth's seasonal temperature patterns have shifted over the past 150 years with most warming between November and April, while winter / spring months have remained about the same temperature or even cooled.

This is why there is little faith placed in CAGW forecasts, any one who knows anything about how the weather really works, understands the real drivers are not even understood enough to used in models yet, and with out considering the background patterns of the seasonal, annual, decadal trends that determine how the weather works, are even used in weather forecasting, in a viable active method, why should ANY confidence be placed in CAGW long range unverifiable modeled forecasts?

«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.»

Seasonal sea ice retreat in 2012 began with a major reduction event in early June (Figure 2) associated with persistent high pressure over the Beaufort Sea and low pressure over the Kara Sea, now referred to as the Arctic Dipole (AD) weather pattern (see discussion of the AD in previous Outlooks).

Vector wind analyses were computed to explain the composite seasonal precipitation anomaly results in terms of different circulation patterns associated with these two wet groups.

Despite fears they would be unable to deal with the complex environmental problems facing Pakistan — such as changing monsoon patterns, melting glaciers, seasonal flooding, rising sea levels and desertification — the devolution went ahead.

The seasonal climate may relate to changes in the ocean circulation pattern prior to 4.6 Ma that resulted in an increased temperature and atmospheric pressure gradient between the east coast of North America and the Atlantic Ocean, but this climate phase seems to be only a temporary condition, as underlying and overlying sediment are both consistent with drier conditions.

General Introduction Two Main Goals Identifying Patterns in Time Series Data Systematic pattern and random noise Two general aspects of time series patterns Trend Analysis Analysis of Seasonality ARIMA (Box & Jenkins) and Autocorrelations General Introduction Two Common Processes ARIMA Methodology Identification Phase Parameter Estimation Evaluation of the Model Interrupted Time Series Exponential Smoothing General Introduction Simple Exponential Smoothing Choosing the Best Value for Parameter a (alpha) Indices of Lack of Fit (Error) Seasonal and Non-seasonal Models With or Without Trend Seasonal Decomposition (Census I) General Introduction Computations X-11 Census method II seasonal adjustment Seasonal Adjustment: Basic Ideas and Terms The Census II Method Results Tables Computed by the X-11 Method Specific Description of all Results Tables Computed by the X-11 Method Distributed Lags Analysis General Purpose General Model Almon Distributed Lag Single Spectrum (Fourier) Analysis Cross-spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in TimPatterns in Time Series Data Systematic pattern and random noise Two general aspects of time series patterns Trend Analysis Analysis of Seasonality ARIMA (Box & Jenkins) and Autocorrelations General Introduction Two Common Processes ARIMA Methodology Identification Phase Parameter Estimation Evaluation of the Model Interrupted Time Series Exponential Smoothing General Introduction Simple Exponential Smoothing Choosing the Best Value for Parameter a (alpha) Indices of Lack of Fit (Error) Seasonal and Non-seasonal Models With or Without Trend Seasonal Decomposition (Census I) General Introduction Computations X-11 Census method II seasonal adjustment Seasonal Adjustment: Basic Ideas and Terms The Census II Method Results Tables Computed by the X-11 Method Specific Description of all Results Tables Computed by the X-11 Method Distributed Lags Analysis General Purpose General Model Almon Distributed Lag Single Spectrum (Fourier) Analysis Cross-spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in Timpatterns Trend Analysis Analysis of Seasonality ARIMA (Box & Jenkins) and Autocorrelations General Introduction Two Common Processes ARIMA Methodology Identification Phase Parameter Estimation Evaluation of the Model Interrupted Time Series Exponential Smoothing General Introduction Simple Exponential Smoothing Choosing the Best Value for Parameter a (alpha) Indices of Lack of Fit (Error) Seasonal and Non-seasonal Models With or Without Trend Seasonal Decomposition (Census I) General Introduction Computations X-11 Census method II seasonal adjustment Seasonal Adjustment: Basic Ideas and Terms The Census II Method Results Tables Computed by the X-11 Method Specific Description of all Results Tables Computed by the X-11 Method Distributed Lags Analysis General Purpose General Model Almon Distributed Lag Single Spectrum (Fourier) Analysis Cross-spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in TimSeasonal and Non-seasonal Models With or Without Trend Seasonal Decomposition (Census I) General Introduction Computations X-11 Census method II seasonal adjustment Seasonal Adjustment: Basic Ideas and Terms The Census II Method Results Tables Computed by the X-11 Method Specific Description of all Results Tables Computed by the X-11 Method Distributed Lags Analysis General Purpose General Model Almon Distributed Lag Single Spectrum (Fourier) Analysis Cross-spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in Timseasonal Models With or Without Trend Seasonal Decomposition (Census I) General Introduction Computations X-11 Census method II seasonal adjustment Seasonal Adjustment: Basic Ideas and Terms The Census II Method Results Tables Computed by the X-11 Method Specific Description of all Results Tables Computed by the X-11 Method Distributed Lags Analysis General Purpose General Model Almon Distributed Lag Single Spectrum (Fourier) Analysis Cross-spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in TimSeasonal Decomposition (Census I) General Introduction Computations X-11 Census method II seasonal adjustment Seasonal Adjustment: Basic Ideas and Terms The Census II Method Results Tables Computed by the X-11 Method Specific Description of all Results Tables Computed by the X-11 Method Distributed Lags Analysis General Purpose General Model Almon Distributed Lag Single Spectrum (Fourier) Analysis Cross-spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in Timseasonal adjustment Seasonal Adjustment: Basic Ideas and Terms The Census II Method Results Tables Computed by the X-11 Method Specific Description of all Results Tables Computed by the X-11 Method Distributed Lags Analysis General Purpose General Model Almon Distributed Lag Single Spectrum (Fourier) Analysis Cross-spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in TimSeasonal Adjustment: Basic Ideas and Terms The Census II Method Results Tables Computed by the X-11 Method Specific Description of all Results Tables Computed by the X-11 Method Distributed Lags Analysis General Purpose General Model Almon Distributed Lag Single Spectrum (Fourier) Analysis Cross-spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in Time Series

Overall, we find that the CTL simulation in the low resolution CESM captures the larger - scale patterns of seasonal rainfall and its variability associated with ENSO reasonably well.

According to Gerry Bell, Ph.D., NOAA's lead seasonal hurricane forecaster, the major climate factors expected to influence this year's activity are the ongoing multi-decadal signal, which produces wind and atmospheric pressure patterns favorable for hurricane formation, along with ongoing warmer - than - normal sea surface temperatures.