We introduce a novel technique in which linear regression analysis is applied to clusters of tracked cyclones to statistically assess the factors controlling cyclone development. We illustrate this technique by evaluating the differences between cyclones forming in the west and east North Atlantic (herein termed west and east Atlantic cyclones). Enhanced cyclone intensity 2 days after genesis is found to be associated with deeper upper-level troughs upstream of the cyclone center at the genesis time in both west and east Atlantic cyclones. However, whilst west Atlantic cyclones are also enhanced by the presence of strong fronts, east Atlantic cyclones are not. Instead, east Atlantic cyclones exhibit an enhancement when diabatically generated midlevel potential vorticity is present (with the enhancement being of approximately equal magnitude to that associated with the potential vorticity in the upper-level trough). This is consistent with the paradigm of latent heat release in the warm conveyor belt region playing an important role in the development of east Atlantic cyclones.
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 Extratropical cyclogenesis often occurs when a shortwave upper-level pressure trough interacts with a low-level temperature gradient. These conditions are prevalent near the east coast of the US where the upper-level flow is disturbed by the underlying orography, and the land-sea temperature contrast and Gulf Stream create a low-level temperature gradient. As a result, large numbers of cyclones are initiated in the west North Atlantic and are then steered, by the westerly winds, across the North Atlantic reaching western Europe in their decaying stage. By contrast, most of the cyclones that lead to severe wind damage and flooding in Europe are in their developing stage and are generated in the east North Atlantic region where frontal gradients are weaker (e.g., Dacre and Gray ).
 Whilst the locations of North Atlantic cyclones are generally well forecast, statistical analysis suggests that there is often a bias toward underestimating their intensity and propagation speed. Froude  showed that there is a bias such that storms propagate too slowly in the forecasts of all of the ensemble prediction systems stored in the TIGGE archive and intensity is underpredicted in the forecasts of most of the ensemble prediction systems. (TIGGE is The Observing System Research and Predictability Experiment (THORPEX) Interactive Grand Global Ensemble). These errors may be due to errors in the storms’ vertical potential vorticity (PV) structure. For example, Stoelinga  showed in his case study that latent heating was responsible for creating a significant positive PV anomaly above the surface warm front. This PV anomaly enhanced the eastward propagation of the surface wave and slowed the propagation of the upper-level wave thus keeping the upper-level PV wave coupled to the low-level surface wave. Diabatically generated midlevel positive PV anomalies (where midlevel is here defined as approximately between 800 hPa and 500 hPa) can also be associated with enhanced upper-level divergence which expands the downstream ridge leading to the formation of a narrow and deep tropopause fold [Posselt and Martin, 2004; Ahmadi-Givi et al., 2006]. Statospheric PV anomalies can then merge with the diabatically produced midlevel PV features to form a vertically aligned tower of PV. Davis  and Wernli et al.  both showed that the superposition of stratospheric PV anomalies and moisture-induced midlevel PV could enhance cyclone intensity. Finally, Plant et al.  showed that midlevel PV anomalies, generated in response to latent heating, were important for the development of two so-called type C cyclones. Type C cyclones are characterised by strong (quasigeostrophic) upper-level forcing, very weak low-level forcing and a vertical upstream tilt that remains constant or increases as the cyclone intensifies [Deveson et al., 2002]. Dacre and Gray  found, in a 6-year climatology of North Atlantic cyclones, that a larger proportion of east than west Atlantic cyclones showed characteristics of type C development (39% compared to 25%), consistent with the generally weaker low-level frontal gradients in the east North Atlantic. Here, we statistically assess the association between the diabatically generated midlevel PV at genesis time and the cyclone intensity 48 hours later for east and west Atlantic cyclones and so test the hypothesis that diabatically generated midlevel PV may particularly contribute to the development of east Atlantic cyclones.
 Various methods have been used to test the sensitivity of forecasts to latent heat release. For example, Langland et al.  used an adjoint model to show how favorably positioned latent heat release was an ingredient that could lead to explosive baroclinic development in their idealised cyclone. Similarly, Smith  showed that horizontal heating distributions that differ by small amounts can yield changes in vorticity tendency that can contribute to either development or decay of the underlying cyclone. The sensitivity of cyclone forecasts to finite-amplitude initial PV anomalies was investigated by Beare et al.  using a nonlinear 3D quasigeostrophic model. They found that the most sensitive regions for cyclone intensity changes were at the steering level, over the cold and warm fronts (and remote from the cyclone centre), with positive PV anomalies in these regions giving, respectively, deepening and filling. Whilst all of these methods demonstrate the potential importance of latent heating for cyclone intensification in individual case studies or idealised modeling simulations, there has not been, to the authors' knowledge, a statistical evaluation of this process in a climatology of cyclones.
 Here, we introduce a novel technique which combines cyclone tracking and compositing with linear regression analysis to enable a statistical evaluation of the relationship between extratropical cyclone intensity and a precursor field (such as PV at genesis time) in North Atlantic cyclones.
 Following the work by Catto et al. , an objective feature tracking algorithm [Hodges, 1994, 1995] has been applied to the six-hourly European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis, ERA-Interim [Dee et al., 2011]. The data covers the period from March 1989 to February 2009. Tracks are identified using the 850 hPa relative vorticity truncated to T42 resolution to emphasise the synoptic scales. Tracks with genesis regions in the east and west Atlantic are selected where the east Atlantic is defined as 10–45°W, 40–55°N and the west Atlantic is defined as 80–55°W, 30–50°N. These regions were selected using plots of the genesis density for all cyclone tracks (not shown).
 The required precursor field is then extracted from the ERA-Interim data set for the selected cyclones within a specified radius surrounding the identified track position. Here, the data are extracted at genesis time at 1° grid spacing on a grid of 360 degrees in angle by 20° in radius and 25 levels from 1000 to 150 hPa. (Note that the data shown in the figures only extends to 15° in radius for clarity). Following Catto et al. , the precursor fields are rotated according to the true direction of travel of each cyclone such that the direction of travel becomes eastward.
 The sensitivity of the intensities of the cyclones to the precursor field is then calculated at all gridpoints for the east and west Atlantic cyclone clusters yielding two three-dimensional sensitivity maps for each precursor. Following the ensemble sensitivity method of Garcies and Homar  a response function, J, is defined; here, we use the cyclone intensity (defined as 850 hPa T42-truncated relative vorticity) 48 hours after genesis. A linear regression is calculated at each spatial grid point (i,j,k), between the values of the response function and difference, x, of precursor field from the mean value (over the cluster members), yielding a regression coefficient for the slope of
 A correction factor is applied to filter out weak correlations from the final sensitivity product:
where rij is the correlation coefficient and rmin is the minimum correlation coefficient for which the raw sensitivities remain unaltered. The value of is set to control the weighting given to sensitivity information at gridpoints at which the regression has a poor correlation coefficient. It is set to 0.05 here which, for example, leaves 5568 of the 180000 gridpoints (3.1%) in the field of sensitivity to PV at genesis time completely uncorrected (i.e., αijk = 1) for east Atlantic cyclones. Although the correction factor thus modifies the large majority of the of the sensitivity values, strong coherent sensitivity signals are retained since large correlation coefficients are preferentially associated with large slope magnitudes in the data (not shown). The standard deviation, σijk, of the precursor field at each gridpoint is calculated from the combined west and east Atlantic data sets. This ensures that sensitivity values for east and west Atlantic cyclones are directly comparable. Finally, the sensitivity, Sijk, is given by
 Multiplication of the regression coefficient by the standard deviation means that the units of Sijk are the same as those of J (s−1 in this case) and the resulting sensitivity at a gridpoint can then be interpreted as the change in J associated with a one standard deviation increase in the precursor field at that gridpoint. This is a very desirable feature of the method as it allows the sensitivity to different precursor fields to be directly compared. Following previous literature on the ensemble sensitivity method (e.g., Garcies et al. ), we describe the response function as being sensitive to a precursor field but note that mathematically only an association is found and the inference of sensitivity relies on a postulated dynamical mechanism. Note also that the diagnosis of sensitivity to a particular field in a region relies on the cluster of cyclones including a spread of values in that region.
 Sensitivity calculations have been performed for the precursor fields of PV and equivalent potential temperature (θe) anomaly; the θe anomaly is calculated by subtracting the mean θe field, averaged over the 20∘ radius, for each individual cyclone from the θe field for each cyclone at each level and is used in this paper as a measure of the strength of the frontal gradient. An orography mask was applied to the calculated PV to exclude erroneous values obtained where the pressure levels were below the orography (especially noticeable over Greenland).
3 Cyclone Intensification and Composite Structure
 There are 644 west Atlantic cyclones and 296 east Atlantic cyclones identified in the 20 years of ERA-Interim data. The cyclone identification algorithm uses a minimum T42 850 hPa relative vorticity (intensity) threshold of 1 × 10− 4s− 1 to identify cyclones. Some of these cyclones do not intensify. Only cyclones that intensify by > 1.5 × 10− 4s− 1 and > 1.0 × 10− 4s− 1 for west and east Atlantic cyclones respectively are analysed. These thresholds were chosen to retain a similar percentage of west and east Atlantic cyclones (455 west and 216 east Atlantic cyclones). (The sensitivities have also been computed for the east Atlantic cyclones using a intensity threshold of 1.5 × 10− 4s− 1 and the results are very similar — not shown). Figure 1 shows histograms of cyclone intensity at the genesis time and 48 hours later for all west and east Atlantic cyclones that satisfy the intensification criteria quoted above. The distribution of intensity values at the genesis time is qualitatively similar for west and east Atlantic cyclones. After 48 hours, some cyclones have intensified markedly whilst others have intensified rather less. What controls the development and are the controls the same for west and east Atlantic cyclones?
 Figure 2 shows the composite cyclone structure for intensifying west and east Atlantic cyclones from ERA-Interim at their genesis time, similar to those in Dacre et al. . Both west and east Atlantic cyclone composites show cold and warm fronts extending from the surface up to 500 hPa. However, the fronts are stronger in the west Atlantic cyclone composite (Figures 2(a) and (c)). Both west and east Atlantic cyclones show the presence of an upper-level trough (stratospheric PV values) upstream of the cyclone center (typically to the north-west); however, the trough is deeper (extends to lower levels), and is more wrapped up, in the east Atlantic cyclone composite (Figures 2(b) and (e)). A dry slot (low relative humidity values) is evident in both cyclone composites extending from the base of the upper-level trough down to 700 hPa. Both west and east Atlantic cyclone composites show a warm conveyor belt (WCB) flow, with high relative humidity air ascending up over the surface warm front position to the tropopause (Figures 2(c) and (f)). Both the WCB flow and convection occurring along the cold front contribute to the formation of the frontal cloud band evident at 300 hPa (Figures 2(b) and (e)). The frontal cloud band is more extensive in the east Atlantic cyclone composite, consistent with the paradigm that many east Atlantic cyclones are secondary cyclones forming on the trailing cold front of a pre-existing parent cyclone. At the genesis time, the WCB in the composites is not associated with a strong diabatically generated PV signature (Figures 3(a) and (c)). The magnitude of PV in the WCB increases as the cyclones develop, but in the composite mean, it does not exceed 1 PVU after 48 hours (Figures 3(b) and (d)).
4 Dynamical Controls on Cyclone Intensification
4.1 Sensitivity of Cyclone Development to Precursor Frontal Gradients
 Figure 4 shows the composite θe anomaly field at the genesis time. The θe anomaly field is positive in the warm sector, between the cold and warm fronts to the south of the cyclone center, and negative in the cold sector to the north of the cyclone center (Figures 4(a) and (d)). Figure 4 also shows the sensitivity of cyclone intensity after 48 hours to the θe anomalies at the genesis time. The sensitivity has a dipole structure in the horizontal at all levels up to 350 hPa, being positive in the warm sector and negative in the cooler air to the north and east. The sense of this dipole is such that an enhanced precursor frontal gradient is associated with more intense cyclones (as would be expected through baroclinic instability). West Atlantic cyclones are much more sensitive than east Atlantic cyclones to the θe anomaly at all levels up to 350 hPa with an increase of one standard deviation in θe anomaly leading to an increase in intensity of up to 0.8 × 10− 4s− 1 for the west Atlantic cyclones but only 0.4 × 10− 4s− 1 for the east Atlantic cyclones.
4.2 Sensitivity of Cyclone Development to Precursor PV
 Figure 5 shows the composite PV field at genesis time. Consistent with Figure 3, values are low (< 1 PVU) in the troposphere. Figures 5(b) and (e) show that both west and east Atlantic cyclones are sensitive to upper-level PV with an increase of one standard deviation in PV in this region associated with an increase in intensity of up to 0.6 × 10− 4s− 1. Figures 5(c) and (f) suggest that east Atlantic cyclones are however more sensitive to upper-level PV anomalies associated with precursor tropopause depressions. For west Atlantic cyclones, high sensitivity is seen at larger radii than that shown in Figure 5(c) but are confined to levels above 350 hPa (not shown). In addition, Figures 5(a) and (d) show that only the east Atlantic cyclones are strongly sensitive to midlevel PV (here at ∼ 700 hPa), particularly in the region where the WCB ascends over the surface warm front, with an increase of one standard deviation in PV here associated with an increase in intensity of up to 0.6 × 10− 4s− 1 (Figure 5(f)). This suggests that midlevel latent heating contributes more positively to the development of east Atlantic cyclones than west Atlantic cyclones.
 We have used linear regression analysis to quantitatively evaluate the sensitivity of extratropical cyclone intensity to atmospheric precursor fields, specifically frontal gradient and PV at the cyclone genesis time. West Atlantic cyclones are more intense after 48 hours when strong frontal gradients and upper-level troughs are present at the genesis time. This is consistent with type B cyclogenesis in which both low-level and upper-level forcing are important [Petterssen and Smebye, 1971]. East Atlantic cyclones are about half as sensitive to the strength of the frontal zones as west Atlantic cyclones. However, compared with west Atlantic cyclones, their intensity is much more sensitive to the presence of PV in the warm conveyor belt at the genesis time. East Atlantic cyclones are more intense after 48 hours when this midlevel PV and deep upper-level troughs are present at the genesis time (with the sensitivity to the midlevel PV and the PV in the upper-level trough being approximately equal). This is consistent with type C cyclogenesis in which upper-level forcing is important, low-level forcing is weak, and PV anomalies generated by midlevel latent heating contribute to development. Thus it appears that midlevel diabatically-generated PV is more important for enhancing east Atlantic cyclone development than that of west Atlantic cyclones. This is consistent with the higher proportion of type C cyclones found in the east (compared with the west) Atlantic by Dacre and Gray . The greater sensitivity of east Atlantic cyclones to midlevel latent heating implies that they may be more sensitive to changes in climate that affect this process.
 We are grateful to Kevin Hodges at the National Centre for Earth Observation, Reading, for supplying us with his tracking algorithm and compositing code. We also thank Lorena Garcies at the Universitat de les Illes Balears, for supplying us with her linear regression analysis code. We appreciate the useful discussions on this work provided by both Lorena Garcies and Joaquim Pinto (University of Cologne).