Sentences with phrase «monthly mean values»

Monthly mean values of the modeled (RAMS) surface - wind velocities (in m / s) at the Bodélé (solid line) and Froude number (× 50; stars) for 2001.

Each new data integration processing is compared with earlier releases, and significant anomalies (e.g. changes in monthly mean values) are investigated in more detail.

In the lower PBL, the main energy transport takes place through small - scale turbulence with short time scales which may not be well represented by monthly mean values from the atmospheric model used for the reanalysis.

Global mean cloud properties averaged over the period 1986 - 1993 are: cloud amount = 0.675 ± 0.012, cloud top temperature = 261.5 ± 2.8 K, and cloud optical thickness = 3.7 ± 0.3, where the plus - minus values are the rms deviations of global monthly mean values from their long - term average.

Since solar radiation data were not available for these sites, we calculated monthly mean values, using differences between temperature extremes following procedures outlined by Coops et al. -LRB-[2000]-RRB-.

I know there are monthly mean values of sub-daily ensemble spread available, but these are not the same as the spread of the monthly averages calculated using each ensemble.

Not exact matches

Contreras and those who work with him say he places a high value on using various types of data, whether that means creating a personalized schedule for English - language learners instead of relying on a computer, or holding monthly «portfolio meetings» of principals that feature videos of teachers in the classroom and robust discussions of their practices.

Groove Toyota says «Yes» to pre-discounted pricing, which means we provide everything you need to know upfront: monthly payments, taxes, interest rates, and your trade - in value.

Here is the formula used: Sortino is same as Sharpe except its denominator is the annualized downside deviation, which only uses monthly returns falling below TBill average, as shown here: Finally, Martin, which uses same numerator as Sharpe and Sortino, excess return relative to TBill, but it uses the Ulcer Index (UI) for the denominator, which is the square root of the mean of the squared percentage draw downs in value.

PMI can be cancelled once 20 percent equity in the home value is reached, which means your monthly bill decreases.

This often means that your monthly income exceeds your living expenses, that you don't have any assets or property that could be used to pay the tax debt, and that the amount of your tax debt and living expenses outweighs the value of your assets and monthly income.

That means monthly MIP payments for two years — about $ 3,400 in this example — can be lopped off borrower costs if property values rise and loan balances fall.

$ 225,000 loan amount, 70 % loan - to - value, 740 credit score, property in WA, lock period of 30 days, debt - to - income ratio of 30 % or less, escrow account applied (meaning your tax and insurance costs are collected monthly with your mortgage payment).

$ 225,000 loan amount, 100 % loan - to - value (0 % down), 740 credit score, property in WA, lock period of 30 days, debt - to - income ratio of 30 % or less, escrow account applied (meaning your tax and insurance costs are collected monthly with your mortgage payment).

They focus on net fund alphas, meaning after - fee returns in excess of the risk - free rate, adjusted for exposures to three kinds of risk factors well known at the start of the sample period: (1) traditional equity market, bond market and credit factors; (2) dynamic stock size, stock value, stock momentum and currency carry factors; and, (3) a volatility factor specified as monthly returns from buying one - month, at ‐ the ‐ money S&P 500 Index calls and puts and holding to expiration.

The researchers find find that the equal - weighted portfolio with monthly rebalancing outperforms the value - and price - weighted portfolios in terms of total mean return, four factor alpha, Sharpe ratio, and certainty - equivalent return, even though the equal - weighted portfolio has greater portfolio risk.

This is because a used car is generally worth less than a new car, which means if you fail to pay your monthly bill, the lender won't recover as much value from repossessing your vehicle.

This typically means having a credit score of 620 or above, a debt - to - income ratio of 50 % or less (i.e. the sum of all your debt payments, including housing, divided by your gross monthly income), and a loan - to - value ratio on your home of 80 % or less after the cash out refinance is complete.

They just look at the property's loan - to - value and debt coverage ratio, meaning how much does the net operating income exceed the monthly principle and interest payment.»

Carolina Caycedo's Dependencia / Dependency (currency insertions)(2012), uses ink stamps on banknotes that carry the respective values of the minimum monthly wage, a gram of cocaine, and a liter of gasoline in six different cities (three Western and three Latin American) to show both the varied costs and question the means of establishing material values across a globalized culture.

Sadly, the data points must be independent, and the variations about the trend lines must be normally distributed, which means that we can not use the monthly data (where the downward trend since 2001 is significant) because the values appear to be serially correlated.

This would be true, for instance, if the earliest or latest individual monthly values in the series are outliers — that will have more leverage on the trend in the monthly series than in the corresponding annual means.

About taking differences (current period figures less prior period figures) of anomalies: the anomalies are the value less the monthly mean (i.e., the mean for the particular month over the years, in this case 32 full years), as is the usual practice with climate data (most notably temperature).

Take the last sentence of the post, «Such latitudinal profiles of zonal means are analogous to comparing mean values of different sample sizes (a bit like comparing daily values to monthly and annual means).

«Such latitudinal profiles of zonal means are analogous to comparing mean values of different sample sizes (a bit like comparing daily values to monthly and annual means).

The local ingestion process took only the 0Z, 6Z, 12Z, and 18Z forecasted values, and thus only those were used to make the daily time series and monthly means here.

Let's just do a running mean on monthly values.

Global annual mean net TOA fluxes for each calendar year from 2001 through 2010 are computed from CERES monthly regional mean values.

High values of the Hurst exponent of H = 0.66 ± 0.05 for deseasonalized monthly mean surface temperatures in the sample period 1850 - 2015 suggest persistence and long term memory in the temperature time series.

I've downloaded the monthly HadCET (Central England Temperature) mean dataset, available here, and for 2012 (it should work for any year), I've put the values from January through to July into Excel and plotted a graph:

Running twelve - month averages of global - mean and European - mean surface air temperature anomalies relative to 1981 - 2010, based on monthly values from January 1979 to March 2018.

Running twelve - month averages of global - mean and European - mean surface air temperature anomalies relative to 1981 - 2010, based on monthly values from January 1979 to April 2018.

Running twelve - month averages of global - mean and European - mean surface air temperature anomalies relative to 1981 - 2010, based on monthly values from January 1979 to February 2018.

Instead of changes in monthly values of Temp and precip (and cloud cover) changes in ANNUAL mean temperature were used to force LPJ.

Note: Excel used to calculate the 3 - year absolute temperature and CO2 level averages; also used to calculate the moving 36 - month and 360 - month per century acceleration / deceleration trends (Excel slope function) as depicted on chart; the absolute temps calculated using the HadCRUT4 month anomalies and NOAA's monthly global mean temperature estimates; and, the 3 - year average beginning value for CO2 was offset to a zero starting place.

Both these Outlook projections are substantially lower and nearer to the observed September 2008 monthly average value than to the 1979 — 2000 mean value (7.1 million square kilometers) or to the linear trend line of previous September minima (5.6 million square kilometers).

[4] The aspects of each of these measures that are used as predictors are their climatology (the 2001 - 2015 mean), the magnitude (standard deviation) of their seasonal cycle, and monthly variability (standard deviation of their deseasonalized monthly values).

These are all cell mean values on a grid with 37 latitudes and 72 longitudes, giving nine predictor fields each with 2664 values for three aspects (climatology, seasonal cycle and monthly variability) for each of three variables (OLR, OSR and N).

In January 2013, for example, the monthly mean PM2.5 level exceeded 130 μg m - 3 and the maximum daily average value reached 500 μg m - 3.

Figure 18 - A Monthly values of cloud coverage over 15 ° S - 15 ° N and mean global surface temperatures from December 1983 to December 2009 (Ole Humlum www.climate4you.com)

Purple curve: monthly values of 1,45 +1,6 ATUAH MSU intertropical shifted by 0.6 years where AT is the anomaly of the inter-tropical lower troposphere (anomaly w.r.t the mean over 1981 - 2010 of the same UAH - MSU series)

Bosse (Citizen Scientist / Public), 4.1 (± 0.43), Statistical (Same as June) Just as in the two years before I calculate the value for the September - minimum of the arctic sea ice extent of the year n (NSIDC monthly mean for September) from the Ocean Heat Content (0... 700m depth) northward 65 ° N during JJAS of the year n - 1.

These differences or ratios are then applied to the observed baseline climate whether mean values, monthly or a daily time - series.

The temporal overlap of over three years of the new NOAA - 17 and the previous NOAA - 16 record reveals an excellent agreement of the corresponding global monthly mean AOT values, thereby confirming the robustness of the vicarious radiance calibration used in the original GACP product.

For CONUS for example the mean error from 1910 to 2010 is ~ + / - 0.2 C using monthly values.

A monthly mean is calculated only when nine or fewer daily values are missing or flagged.

Likewise, we use the monthly - mean time series from CMIP5 and LENS to calculate simulated time series of statewide 12 - mo and seasonal values of temperature and precipitation.

Anomalies are computed by subtracting the mean monthly value (averaged from 1979 through 1998 for each channel) from the average brightness temperature for each month.

If other data sources for sea ice extent are used, the corresponding mean monthly ice extent values can be adjusted by an offset to roughly correspond to the NSIDC value.

14 Köppen Climate Classification System Most commonly used system Uses mean monthly and annual values of temperature and precipitation Five Principal Groups Humid Tropical Humid Mid-Latitude Dry Highland Polar