Questions tagged [climate]
For questions about statistical problems encountered in climate research.
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Validate correlations with multiple influence factors
I am having a problem with validating my correlations.
To explain the situation:
Dataframe 1: the number of observations for each day in 2 years.
Dataframe 2: multiple weather and air quality ...
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Understanding calculation of potential evapotranspiration on a timeseries
In the example below, I calculate PET using the thornthwaite function of the R package SPEI. I don't understand why adding a month at the end of the time series, changes the values for all other ...
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Determining climate change effect on mortality rate time series
I am currently conducting research in determining the impact of climate change on mortality. I have got time series of the number of deaths for different age groups which dividing them by their ...
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Questions about imputations of climate temporal data
I'm here to require help/advice about a treatment issue please.
I combined in a big dataset climate data with daily values since 2005. In some variables, I have a lot of missing values, sometimes for ...
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Linear Regression on data with seasonality
I have a dataset of temperatures for a few decades. Data looks a lot like on image, with seasonality.
The question is whether it is possible to draw conclusions about how the temperature is changing ...
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Does a low R-squared value in climate temp data mean that it can't be used to prove climate change?
I have this climate data, it has a low r-squared number - does that mean it fails to demonstrate climate change?
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Climate change calculations? [closed]
Sorry for the stupid question, but I have been unable to answer it even after wasting time googleing for a while... I know there are several climate-changes scenarios, and I know the several climatic ...
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Regression and ANOVA for multiple site comparison of weather data?
I have already asked a similar question in the past and received the advice to ask more specific in the 'ANOVA community'.
My experimental design looks like this:
Temperature is measured at several ...
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how to estimate the precipitation value from other relative data
I have climate data but the precipitation values are missing,
I would like to know if there is any formula used to estimate the precipitation value from the other recorded climate data: temperature, ...
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Downscaling climate data with a random forest model
I want to downscale climate data from CHELSA, which pixels are around 800 m long, to a 500x500 m or 50x50 m grid. I was thinking to perform a random forest model for each variable, in which I could ...
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Correlation between previous year growth and monthly climate variable
I want to calculate Pearsons correlation coeff. between growth variable (tree-ring measurements) and monthly climate variable (e.g. monthly average temperatures) for a period of 100 years.
In that ...
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Evidence for man-made global warming hits 'gold standard': how did they do this?
This message in a Reuter's article from 25.02.2019 is currently all over the news:
Evidence for man-made global warming hits 'gold standard'
[Scientists] said confidence that human activities ...
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Relationship between dependent and independent variables
I tried to develop an empirical equation by using multiple regression analysis. In my case I use aerosol as dependent variables and relative humidity and winds components ($U$ and $V$) as independent ...
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Plotting Climate Theil-Sen Trend, Strange Intercept Estimate
So I am simply trying to plot observed data and the Theil-Sen trend estimate on one plot, but the estimates have been strange but consistent across methods/packages. As you can see in the figure, I ...
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How to measure similarity/agreement between two temperature time series? [closed]
I am developing an application to compare temperatures from two locations, in the same span of time.
For example, temperature is measured every hour for three months straight in two different cities. ...
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Which correlation test should I use? ANOVA? PCA? Other?
I have the following problem and some help would be wonderful.
I have 50 origins for tree seeds. Each origin has several recorded climate variables like average temperature, precipitaion, wind etc.
...
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Calibrating a model against real observations
I have a dataset consisting of rasters of daily high and low dry-bulb air temperatures in the continental US, one raster per day. This dataset was produced by an ensemble of different climate models ...
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comparison of two sampled distributions
I have two precipitation runoff time series (daily values of over 20 years): observational and model based. As shown in following figure I want to determine how much one distribution based on time ...
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What is the difference between statistical modelling and statistical downscaling?
I have a confusion about the difference between statistical modeling and statistical downscaling in application and their properties and which one can be used accurately and easily for environmental ...
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Can an ARIMA model be used to forecast temperature data?
I'm fairly new to statistics in general and R specifically and am taking a biophysics course which uses both. My project is to determine trends in temperature and precipitation for my region, using ...
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Imputing missing values and quality control of hourly weather data
I have hourly weather data for a number of weather stations in radius of some 300 kilometers, for second half of the last century. Missing values range from few hours to a whole month. I am working ...
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Guess the distribution for the precipitation and temperature over time
I am studying the data obtained from 370 weather stations distributed worldwide. I have one measure of minimum temperature and precipitations per day from 1980 to 2012.
I have plotted the data, these ...
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Compute anomaly temperature trends in R
I would like to perform an anomaly temperature trends analysis in R. I have temperature data from 1901 to 2012. My idea to compute anomaly temperature trends was as follows:
1. Compute temperature ...
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SVD interpretation of Climate data
I was going through my homework. I have a question to interpret the plot which i obtain from first and second left singular vectors after computing SVD. What can i exactly interpret, is it specific to ...
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Regression fitting to climate data
I am trying to fit regression model between temperature and precipitation. I have three cluster of precipitation and corresponding temperature (showing in the plot). Can anyone suggest me please which ...
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Regression models in temperature data
I am quite new to the whole modelling world so I ask your understanding.
Can glm models be used for modelling continuous variables? I ask this because I have read that glms are most commonly used to ...
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Are Lyapovov exponents related to statistical precision? [closed]
In my understanding, Lyapunov exponents measure the average rate of separation of near-identical chaotic trajectories, while statistical precision, in the context of a predictive model, is a measure ...
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Clustering on structural variables?
I'm working with land surface models. These models basically take a bunch of meteorological forcing data (downward radiation, wind, rain, humidity, etc), and run it through some biogeochemical/...
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Predictions of a monthly temperature time series: adding noise to the predicted values
I am doing predictions on monthly temperature data for 100 years, from 1901 to 2000 (i.e 1200 data points). I want to know if the method I follow is correct because in my output, I do not see the ...
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how to impute missing monthly climate data using AMELIA package?
I have been trying to impute future monthly climate data based on sets of downscaled data using the AMELIA package. I have monthly precipitation data from 1960-2099 for different geographic regions ...
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Similarity of two discrete fourier tranforms?
In climate modelling, you're looking for a models that can adequately portray the Earth's climate. This includes showing patterns that are semi-cyclical: things like the El Nino Southern Oscillation. ...
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Is Perkins et al.'s "skill score" an application of Bayes' theorem?
Perkins et al. (2007) introduce a "skill score" for measuring climate model output against observations. The score basically consists of measuring the overlap between probability density functions of ...
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What problems should I watch out for when combining multiple time series?
Say I have a number of time series, e.g. a number of temperature records from various stations in a region. I want to get a single temperature record for the whole region with which I could describe ...
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What exactly is the name of the type of regression analysis where you try to see if the model is significant over *multiple* start/end values?
An example is here: http://www.reddit.com/r/askscience/comments/ine4x/regarding_the_recent_lapse_of_global_warming_in/c2554al
I'm sure it's related to robust statistics. But I'm sure that there's a ...
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