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Four files

Four files erik_a2_stockholm_temp Erik simulation 1000-1990 + scenario A2 until 2100 erik_a2_stockholm_prec Erik simulation 1000-1990 + scenario A2 until 2100 erik_b2_stockholm_temp Erik simulation 1000-1990 + scenario A2 until 2100

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Four files

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  1. Four files erik_a2_stockholm_temp Erik simulation 1000-1990 + scenario A2 until 2100 erik_a2_stockholm_prec Erik simulation 1000-1990 + scenario A2 until 2100 erik_b2_stockholm_temp Erik simulation 1000-1990 + scenario A2 until 2100 erik_b2_stockholm_prec Erik simulation 1000-1990 + scenario A2 until 2100

  2. File estructure ERIK1 plus scenario A2 Stockholm monthly mean precipitation (mm/day) yyyy Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1000 4.49 3.42 2.61 1.66 2.47 2.36 0.38 1.41 3.57 4.52 5.21 3.55 1001 4.08 3.95 1.80 1.63 1.63 1.90 1.81 2.76 3.65 4.77 2.77 4.98 1002 3.80 2.96 3.30 3.04 2.14 1.34 0.91 0.66 1.98 2.52 5.47 3.20 1003 2.99 4.53 3.59 2.59 1.79 1.77 0.95 0.74 2.62 4.16 3.57 2.61 1004 2.46 1.72 2.40 1.72 2.30 2.18 2.09 5.10 3.91 3.91 3.02 3.58 1005 3.75 3.06 2.82 3.02 2.62 1.24 0.62 1.86 1.80 2.95 5.16 5.79 1006 3.56 1.95 2.71 2.11 1.51 0.56 1.93 1.14 2.72 3.15 3.90 3.52 1007 2.79 3.50 1.91 2.49 1.46 1.48 1.04 2.87 2.09 4.11 3.52 2.39 1008 4.04 2.58 2.14 1.18 0.62 1.18 1.35 1.92 3.84 4.29 4.63 5.26 1009 3.25 2.75 2.17 2.18 0.91 1.12 0.88 1.82 3.85 3.79 4.22 3.46 1010 4.42 3.26 2.73 2.31 1.81 1.66 0.49 0.90 4.43 4.07 3.73 3.72 1011 3.33 3.40 2.55 2.34 2.82 1.66 0.86 1.35 3.65 5.49 4.01 4.41 1012 3.64 4.85 2.42 2.38 2.61 0.58 0.90 1.68 2.76 4.56 3.59 3.63 1013 4.02 2.21 3.21 1.96 1.06 1.35 1.24 1.61 2.55 5.28 4.34 3.42 1014 3.26 3.06 3.65 1.30 0.74 1.03 1.43 1.35 2.28 3.75 4.98 4.71 1015 2.50 4.23 1.85 1.40 0.81 1.56 0.28 2.18 3.55 3.03 2.84 3.81 1016 3.70 3.26 1.96 2.11 1.41 0.36 1.84 0.47 2.61 2.60 3.69 3.62 1017 3.30 2.15 2.58 1.82 1.94 1.22 1.02 2.41 2.42 4.99 4.94 3.74 ........ ........

  3. Suggested exercises 1. Calculate and plot the timeseries of summer (Jun-Jul-Aug) and winter (Dec-Jan-Feb) for T and Prec, for both scenarios A2 and B2 2. Calculate, for summer and winter separately, the temperature and precipitation change in the last 10 years of the simulation with respect to the preindustrial mean, in both scenarios A2 and B2: mean of 2090-2100 minus mean 1000-1800 3. Smooth the time series with a 31-year running mean (or other filter, e.g. Gaussian mean), and calculate the correlation between summer T and summer Prec, and between winter T and winter Prec, in the period 1000-1800 4. Calculate the linear trend of T and Prec in the period 2000-2100 for both scenarios A2 and B2, and their 95% confidence intervals. Use the unsmoothed series. (Excel can calculate linear trends).

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