Questions tagged [climate]
For questions about statistical problems encountered in climate research.
28
questions
0
votes
0answers
11 views
What test of statistical significance does RClimDex use?
I'm using the ETCCDI recomended software for calculating the 27 Climate Change Indices. The software is called RClimDex 1.0 and it also gives you the trend of each index and its statistical ...
0
votes
0answers
22 views
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, ...
0
votes
0answers
10 views
Having trouble analysing graph plotting moving average of standard deviation of yearly temperatures
I created a climate change regression model using Python. This particular graph is showing the rolling average of the standard deviation of yearly temperatures.
The graph can be seen here : https://...
0
votes
1answer
21 views
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 ...
1
vote
1answer
42 views
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 ...
38
votes
2answers
1k views
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 ...
2
votes
1answer
119 views
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 ...
0
votes
2answers
939 views
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 ...
3
votes
1answer
831 views
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. ...
3
votes
2answers
98 views
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.
...
0
votes
1answer
50 views
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 ...
0
votes
1answer
23 views
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 ...
1
vote
1answer
38 views
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 ...
1
vote
1answer
846 views
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 ...
1
vote
0answers
314 views
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 ...
1
vote
1answer
160 views
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 ...
0
votes
0answers
330 views
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 ...
0
votes
1answer
436 views
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 ...
1
vote
0answers
163 views
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 ...
1
vote
1answer
654 views
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 ...
4
votes
1answer
62 views
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 ...
1
vote
0answers
45 views
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/...
3
votes
2answers
3k views
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 ...
1
vote
1answer
703 views
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 ...
14
votes
3answers
5k views
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. ...
4
votes
1answer
742 views
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 ...
10
votes
1answer
307 views
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 ...
1
vote
1answer
192 views
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 ...
