Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit293-01-20020521_160200_20020521_204600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/05/21 |
Start Time | | 2002/05/21 16:02 |
End Time | | 2002/05/21 20:44 |
Key Words | | Facsko et al 2016: 1-year run of GUMICS |
Model | | GUMICS |
Model Version | | 4-HC |
Validation Level | | 1 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | -30.21 |
Dipole Tilt, in Y-Z GSE plane, deg | | -18.28 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 190.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit293-01-20020521_160200_20020521_204600-constBx0 |
Minimum Dst Value | | -3 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
|
View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for Cluster-4 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUARnJpIEphbiAxOSAxMjowOTozMyBFU1QgMjAxOKCo9sUAAAHPdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQyOTMtMDEtMjAwMjA1MjFfMTYwMjAwXzIwMDIwNTIxXzIwNDYwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIENsdXN0ZXItNCB0cmFqZWN0b3J5LiIsIAogICAgInhheGlzIjogeyAibGFiZWwiOiIiLCAibWluIjoiMjAwMi0wNS0yMVQxNjowMjowMC4wMDBaIiwgIm1heCI6IjIwMDItMDUtMjFUMjA6NDQ6MDAuMDAwWiIsICJsZWZ0Ijo3OCwgInJpZ2h0Ijo3MjIsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiVVRDIiB9LAogICAgInlheGlzIjogeyAibGFiZWwiOiJyaG8iLCAibWluIjoxLjcyOTk1NDk5OTUsICJtYXgiOjEzLjk0MzE0NTAwMDUsICJ0b3AiOjUyLCAiYm90dG9tIjoyMzUsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiIiB9CiAgfQogXX12UmFlAAAABGdBTUEAAK/INwWK6QAAM9FJREFUeJzt3X90VPWd+H8IQYaQTxggSogBws+NnohRoxsgasCA4Yc2dbNsLD8MEAutaFM3apDIj4qa3QOelFKNK9i4J5b442hWI2S72aZduk05YYm7WUkh2mCDGzHUKGk7ahS+r5P7+dzv7MzcyUxyZ+6deT8ff3BuLnfufb/ua+a+XnPvnZkRlwAAAGCqEVYPAAAAINrQYAEAAJiMBgsAAMBkNFgAAAAmo8ECAAAwGQ0WAACAyWiwAAAATEaDBQAAYDIaLAAAAJPRYAEAAJiMBgsAAMBkNFgAAAAmo8ECAAAwGQ0WAACAyWiwAAAATEaDBQAAYDIaLAAAAJPRYAEAAJiMBgsAAMBkNFgAAAAmo8ECAAAwGQ0WAACAyWiwAAAATEaDBQAAYDIaLAAAAJPRYAEAAJiMBgsAAMBkNFgAAAAmo8ECAAAwGQ0WAACAyaKzwRoxIjrjAoCQCsXB89e//vWcOXMGXXMoNm1VLaAG4ZJqDRZPegDwIxQHyezs7Ndff92STdNgmSgqgwqp6Nxfwb5VOnLkyOLFix0Ox5QpUzZu3Hj+/Hltfm9v77p16yZOnJiYmLhjxw59+bfffvuWW24ZM2aMLH/PPfd89NFHPrdy8eLFhx9+2Ol0TpgwoaysTP50H4DGzyCNRmW0WqP5wa5nxP826HgCDGfQhd95552lS5eOGzcuOTn54MGD5gblJxeK7PlgB6Pp6emZOnWqx/qDylRQez4UPAav77GRI0dOnjy5sLCwq6vLz8OHMP7u7u7vfve7qampo0ePlkfl5eXJEcPnYDxmysTVV1/tvgmZvuqqq9wX0P+rvb39rrvukqPTZZddlpmZ+eqrr2rzP/30UxnnnDlzxo4dK1v/xje+0djYOOiYvQcz5AW8JSQkfP7558Pf9BCEuicwysLQtmviaH2+ckOxoUGp3JZFZ+TBHiOWLFly+PDhvr6+c+fObdq0acWKFdr8oqIiOf5+NGDVqlUvvPCCNn/RokXyhkzarwsXLuzatUvqls+tVFVVXX/99b8bIBPPP/98UOM0GpXRao3mB7seo1EZrSfAcPwvfOrUKTkc1NTUfPLJJx988MHdd99tblCD5iKQSCN6zwc7GI00Ck8++aT7+oPNVFB7PhS8Gyxt4uuvv/7www//9m//Njs728/Dgx3/2bNnp0+fLqs9efLkn//8Z2lk33rrrdtvv93nYDxmyoQU6TfffFP/rzfeeEPmeDdYp0+flu5wz549kgLpXX7zm9/81V/9lfZfsq17771XFvjiiy8+/vjjl19++dZbb/U/Zp+DGfICQ35IxDVYfrJgeYPl/coN0YYGRYMVMeRJ/L3vfW/yAJnQ3xVJCp9++umUlBR5V6r9+Xd/93dXXHGFvLG477775ECjL3bpf58n8N6E9Ezy1lybnjRpklQjbVp6LJ8HYqlYcXFxPkc7f/58KWnatEwsXLjQY4HAn3nuozJa7aCbC3A9gYzKfT1DCMd7YanT+/fv917MrKACWY9P0bfnAxyMkBZh1qxZLpfLff3BZirAPd/f3//YY49NmzbN6XRKxdJm+nm9P/vss9LHOByOrKystrY2bX5jY+N1110nM+W/tE7I+8Xusa8+/fTTsWPHysTmzZv1d1Di4MGDMsf/+H3u9g0bNmzdutVnjEYPcR/bK6+84r4Jie7VV1/1Hvy3vvWt3bt3+9yEhCNBGQ3AfaN+DpKXDHa+/4NnsA/xPm77TKvR08Cd9P3S3EgsCQkJ3/zmN3t6egIJx/9G5QkgK5TlZUf5jNdPFoyeb/qfgTxX5T3A448/npqaOmHChPXr1//xj3/0ud+8+Xzluo/B+0XhvsJBd6bRwLxfxd7bCqSI33zzzYcOHdIHLP3rlClTAnlW202ENViSvNzc3K4BixYt2r59uzZfcvONb3xD3o/qf8piZwfIxM6dO/X5HhPe6urqcnJytGlpsOQtoDYtnZY8aTwWlifWU0895X1GQSPPTv2pKevxfnjgddF9VEarHXRzAa5HRpWYmChdY3p6+g9/+MOvvvrK/3qGEI73wvJik+TKq0he1evWrevt7TU3qEDW41P07fkAByOWL1/+0ksveaw/2EwFuOelUMmQ3nvvvU8++aSkpESb6ef1np+f39nZKS/AXbt26R2JjOq1116TQ7YckTdu3Ohz57gXie7u7kceeUQ7wSMdxi233PLyyy/LdG1trUx/+eWX/sfvc7fLGKQ++YzR6CHuxyUZ1Zw5c/793/9d/mxqapJpmeN94JIsvP/++z43sWzZslWrVv3qV7/685//bDSMSwEcJP3sfKN1BvsQ7+O2z7QardbdvHnzfv7zn0vIUoa3bNlSXFwceDg+N1peXi578sMBS5cu9RmCnywM2mAF8lzdu3fvbbfd9rvf/U5eFGvWrHnwwQd97jdvPl+5Pofhc4WD7kyjgfl8FXtsK5Ai3tDQcNVVV8kzX/sv2T8VFRVGwdpZhDVYM2fOfPfdd7VpeashTbo2Lbk5c+aMvpj8qS/23//93+6LeUx4OHHixIwZM/Tj49q1a1evXn1ugLxZiY2NdV9Y68rlLWBHR4fPtcXExGjHaCETo0aN8lggwLroMSqj1Q66uQDXo5FXfktLixxu9NeJ0XqCDcfnwrJ1eaFqu7qwsLCoqMjcoAZdj09RuecDHMzPfvazm266SbsfyH39wWYqwD0/e/Zs/eSBzs/rXXojbfpPf/qTdgpKTJ06dd++fb///e/dV+JdS9zJW3A5RGj/9dFHH8meKSsrk3/1GyuDfebIUcK9s/E+VeD9EI//fe655+68885LAxf7/uEf/sF7AW0rLpfL5wA+++wzqWHXXnutw+GQHVhaWurzrf+gB0k/O98o9mAf4n3c9plWo9UakT2QkpISeDhGG21vb9em5YE+Q/CThUEbrECeq2lpab/97W+1aXlCTp8+XV/Mfb95MHrl+tmQnxX63JlGA/P5KvbYVoBF/MYbb9R6xNOnT8sAJDVG8dpZhDVYcsjQn9AyIX9q05Ibj1vIjRbzmHAn7xenTZt27Ngxfc4f/vAH6avkECzvVJ544omkpCSPh8iTb8eOHTfffLO+WveDabBnsDwebjSqoZ0qCHw97uTd1aDrMQrHP4+FZTDuJwsTExPNDWoIZ7Cics8HPphrrrnm6NGj3usPNlN+Tte5P9vdX9o6P693n+H/x3/8R35+/qRJk+bMmaNf1zNaWBvPtm3b3O+hlPfTsoB+jdLP+I3IUcJPBzx69GiPK1wSl/Rw7ovJAlOmTPnpT38q/+pX2TzW4+fciU4OidI53XPPPT5PsQ96kAxw57sL9iHex22P//W/WnfynkTyKMdq7Uml98HBhuO+vJ4po2ttwzmDFchzVbo99zcD7s8TPx+ZMnrl+hyGzxUOujONBubzVeyxrQCLeF1d3V/8xV989dVXd999t3SiPqOwvwhrsAJ8h+T+5kwmvBfzvnRdW1ubnJx8/Phxo03/+Mc/lmbLe770WN73xGiGfw+Wz1EN4WaXoNbjrqurSw4i/tcTeDh+Fs7Ozna/3U0v22YFFew9WFG554MazAgv2vxgMxXgnpcyE9QZLD/hy2G6vr5efzvk8WL3WPjChQv6SYt33nlH3iu//vrrV155pX5aOthnjjQ0ZWVlHjP1jV511VW/+c1v3P+rubk5NTXVY7GnnnoqNjZWvyziXa3lWPTkk0/6H4mmt7f3//yf/+M9f9CDpNHON7rvx89DAi/zPv8M5AyWzHzxxRflLbGUZPnXe48F+1wK5AyWnyy4N2r62Zfu7u6gnqvSYXR2dvpZudGmfb5y3fl/UQy6M40G5vNV7LGtABMhe0Y6xYceekheHfoNghEnwhosebupX76VFru8vFyb7/0iWbp0qXZ7gUx43wpw+eWXnzx5Ul9+79698rZefznpVq9eLRuSI9ShQ4emTp2qnxRdu3atPPzLL7/8/e9/v2XLFqN7sJ599tnhfIrQaFRGqzWaH+x6CgsL5Xkvz2mJUfb2/fff7389AYbjf+GDBw/qV2NlAOvXrzc3qEFz4S4q93ywgzFaf7CZCnDPP/HEEzk5Oe+//7773RuBv961CRmPHLtlB0rRklZSm+nxYnd/7Pnz5x977LGsrKxLA/dTygH9l7/8pUy/+eab1113nXalz8/4fe72M2fOyKb1TxFKOG+99Za+pLxPk6384he/+GxAU1NTenr63//93/tZ4SVfDdbp06elKj/99NOyZz7//PNjx47pn1+79dZbX375Zel95QAlY960adOyZct8rtP/QdJo53vsT3cB5stoBxr9abRad7I33njjDdkV8hSSXeG9x4J9Lsny+j1Yt99+u88Q/GRBX1468l27dsmzS3Jx5513BvVcrayslDHLHFnsv/7rv/7mb/7G//70ZrSknxfFpQB2ptHAfL6KPbYV+JNE3hDKzAMHDgQSkT1F0lgvDZxRlKqjfQBBJvQzjd4vEu0DMhMmTPjOd77j/jkFbUKKjdPpdH/eeOjr67s0UEvkqR8XF7dkyZITJ07o63/llVfmzZt32WWXSdclxy/p8X2OVnpwacCdAx555BGfJ3WN3mH4GZXRao3mB7seLboxY8bIewt5MbjvZJ/rCTCcQWOXQ3xiYqKkTPpX/dZps4LykwtF9nywg/F4rPufQWUqwD0v3cCjjz6akpIiq5WKpc0M/PWuTcgbIXlv7XA4pD36+c9/rs3082KfOHGi1Lz33ntP5q9bt0674UkjY9B6R/+vYp+xfPDBBxs2bJBDR2xs7KRJk775zW/++te/1vfGT37yk8zMzPEDZOLFF18cdIUjvCrcpYFPismaZVRyILrxxhv1b2D613/9V5kvu1H2w4wZM+677z6fB6gRgx0kjXa+x/50F2C+jOI1+tNote7efvttSf3o0aPlXcS+ffu891iwzyVZ4Nvf/rbsHNlFP/jBD2TNPkMwyoK+HnnLJB289mnBZ555Jqjn6tdffy2xpKWlyTFB+vK6ujr/+9Ob0ZLeLwr3/x10ZxoNzOer2GNbgT9JZGfOmTOnv78/kIjsKZLGCgAwRWQVKmv953/+p7SqVo/CYl999ZXHx7xC7Y477vjpT38azi2ajtcYACiHBmtQJSUl3d3dZ86cue22277//e9bPRyLtbS06J8WDLWvv/76ueeeu+aaa/RvaohQvMYQEt4XpGx4QI+IQQYrKoOC6XhWDKqysjIlJeWKK6649957I/RrAkwUHx//zDPPhGdb8uRMTU2Vli48mwsdXmMAAAAmo8ECAAAwGQ0WAACAyWiwAAAATEaDBQAAYDIaLAAAAJOp0mD5/Ow6AAAIM6s7gjBRJk5lMgoAgG2pU46ViVOZjAIAYFvqlGNl4lQmowAA2JY65ViZOJXJKAAAtqVOOVYmTmUyCgCAbalTjpWJU5mMAgBgW+qUY2XiVCajAACr9A+wehS2pk45ViZOZTIKALBEZ2fnlClTJk6c+M4771g9FvtSpxwrE6cyGQUAhJ/L5frrv/5r7Ys0Z82a1dfXZ/WIbEqdcqxMnMpkFAAQZvX19bNnz9a6q1GjRsm/2dnZ9Fg+qVOOlYlTmYwCAMKmvb09Ly9Pa63S0tIaGxtlTlJSEj2WEXXKsTJxKpNRAEAY9Pb2lpaWxsbGSn1xOp2VlZX67e30WLp/+Zd/+fa3v/3uu+/qc9Qpx8rEqUxGAQChduDAAa2FkgaruLi4p6fHYwF6LNHY2BgTEyM7YcyYMTU1NdpMdcqxMnEqk1EAQOg0NzdnZmZq1wSleWppaTFaUuUeq7+/v6ysbMT/Jvuhra1NnXIczXF6pNbq4QAAItiBAwfi4uK0gpKSkqKfkvFDzR6rs7NT60FjY2O3bdv2T//0Tz/5yU+0/aCd0LJ6gGGiTJzKZBQAEAoTJkzQuquysrLAuyXVeqza2tr4+HiJNzU1tbm5WZ/f29t72223KXW+Q5k4lckoAMB0ra2tUkdGjhx57733BvtYRXosCa2oqEhroQoLC6Wj8ligvr6eBisKqZNRAIDp8vPzpY6UlJQM7eF6jzV//vw33njD5XKZOzzLSQOqfRNYfHz8gQMHjBbjHqwopE5GAQDmampq0r6LwfvTgoHTeyyxaNEiE4c3BNLhLVy4MCUlRZqh4QTV2dnZ3d1dWVmpfV1FRkaGhOn/IeqUY2XiVCajAABz5eTkSBHZuXPnMNcjzYf2Pe9Cmq01a9ZUV1dLg2LKIIOiX63TB7Ny5crS0tLa2tq2tjb/v1ct/yt9VUtLy969eyWckSNHaispKSkJ5MycOuVYmTiVySgAwESNjY3a6Svvm4qG4M0338zIyNBPZWnS09OluWloaAjbpUMZxoiBX/WZN2+edk+6O4fDIYPMy8uT/129enVRUZG0X9nZ2ampqd4Li4SEBOnYAty0OuVYmTiVySgAwETSakgFqaysNHe17e3tsk5pYtxbFulscnJyVqxY4ec2puGTNk67X0oPqqOjo66ubufOnfn5+fqPKvohnZbslptvvvmaa6655ZZbOjs7A9+6OuVYmTiVySgAwCzSdmhX0EJ3bknW3NTUVFZWpn9/qeall14K0RZ3796tnTYzuhTY19fX3NyclZUli82dO7e6ulr2gwxSGqnhn8ZTpxwrE6cyGQUAmEL6j7S0NCkfVVVV4dliT0/Pli1btAZrzJgxodiuNEkOh0PWf/To0UEXbmtrM30A6pRjZeJUJqMAAFNUV1dL7Zg9e7b/m75N98tf/nLt2rVam1VYWGjuV2dp3zexZs0aE9cZFHXKsY3i1M+Lus88cuTI4sWLpd2eMmXKxo0bz58/P+SVmzFGAIASpKnS7kaSNsuSAehfiS7DaG1tNWWdDQ0N2g37lnx0UaNOObZdnB67fsmSJYcPH5b+/dy5c5s2bVqxYoUpqwUAwI/KysoRA1/sFObTV+46Ojq0W+wdDsfwLxd639tuCXXKse3i9LPrL1y4MG7cONNXCwCAO+lFtG9SqKurs3wkmzdvNuVy4aD3toeHOuXYdnH62fXyRM/JyTF9tQAAuKuoqJCqkZmZafVA/q/hXy4M6t72kFKnHNsuTqNdf+LEiRkzZpw6dcr/Y/0IzXgBAFGlt7fX6XRK1WhqarJ6LP+/YV4utPzedp065dh2cfrc9fIsnzZt2rFjx8xdLQAAHnbu3CklY8gXTELH/XLhDTfccPbs2QAfaId723XqlGPbxem962tra5OTk48fP27uagEA8CAtiHYxrrm52eqx+Hbw4EGtxxo/fnwglwttcm+7Tp1ybLs4PXb93r17p02b5vPXuYNKkjoZBQAMWUlJidSL/Px8qwdiqK+vLy4uTuuxYmNjB22bbHJvu06dcmyjOH3eMuV9K5X+GQoaLACAifQ7wc363qkQkXG+8sor+ne+5+Xl9fT0GC1pk3vbdeqUY2XiVCajAIAh6O7uXrZsmRSLoqIiq8cSqPr6+sTExBEDv5bY2NjovYB97m3XqVOOlYlTmYwCAILV09MzZswYqRQxMTEdHR1WDycIXV1dubm52qmssrIy9+uAtrq3XadOOVYmTmUyCgAIisvleuihh7Qe5brrrrN6OEGTpqqioiI2Nlb77q7Ozs5L9ru3XadOOVYmTmUyCgAIXH19vdaIiLS0tMC/+8BumpubU1NTJYr4+Pja2trvf//7trq3XadOOVYmTmUyCgAIRHt7e15ent5a+byHKbL09vYWFha6fyzsF7/4hdWD8qROOVYmTmUyCgDwTxqR0tJS7Zqa0+msrKy022me4Thw4IAW2siRI40+XWghdcqxMnEqk1EAgB/Sf2g/5CxdSHFxsQ1bkOF7++23b7jhhiH8ok4YqFOOlYlTmYwCADz09/fX19e//vrrmZmZ2rWz7OzslpYWq8elInXKsTJxKpNRAIA76a6Ki4v125JSUlJqamqsHpS61CnHysSpTEYBAJcGvsS8qqqqoKDA6XTq3dUDDzyg/xwILKFOOY7mOH3+9g4AIMr09/drP1krzVNdXd3mzZv1b17QzJw589Zbb+XElR2oU46ViVOZjAKAarR2aurUqdqn5zROp7OgoKCqqkr74k3YhDrlWJk4lckoACiitbW1vLzc/WSVNFjZ2dk7d+5sbm6Opm9eiCbqlGNl4lQmowAQ3bz7qoSEhLlz5+7bt4/7q+xPnXKsTJzKZBQAopJ3X5WYmFhcXNzY2MjJqgiiTjlWJk5lMgoA0aSvr2/58uXaV4PSV0UBdcqxMnEqk1EAiCa333671leNHz+evioKqFOOlYlTmYwCQDTRz10dP37c6rHABOqUY2XiVCajABA1Ojs75egdHx/f2tpq9VhgDnXKsTJxKpNRAIgaVVVVcvQuLCy0eiAwjTrlWJk4lckoAESNgoICOXofOHDA6oHANOqUYxvF6fM3bS5evPjwww87nc4JEyaUlZXJn0NeuRljBACESX9/f3x8vBy9+Sr2aKJOObZdnB67vqqq6vrrr//dAJl4/vnnTVktAMDmjh49KofutLQ0qwcCM6lTjm0Xp8eunz9//uHDh7VpmVi4cKEpqwUA2NzOnTvl0L1lyxarBwIzqVOObRenx65PSEjo6enRpj/++GOn02nKagEANpeVlSWH7oaGBqsHAjOpU45tF6fHro+Jifnyyy+1aZkYNWqU/8f6EcJBAwBM1dvbGxsb63A4+HnBKKNOObZdnJzBAgDU1tbKcTsnJ8fqgcBk6pRj28XJPVgAgOLiYjluV1RUWD0QmEydcmy7OD12/bPPPmv0KcKgkqRORgEgCqSmpspxu6WlxeqBwGTqlGMbxenzlqmLFy8+9NBDzgGPPPKI+/dg0WABQFRqb2+Xg3ZSUpLVA4H51CnHysSpTEYBINLt379fDtpr1qyxeiAwnzrlWJk4lckoAES6vLw8OWhXV1dbPRCYT51yrEycymQUACKay+XSfiGnu7vb6rHAfOqUY2XiVCajABDRmpqa5Iidnp5u9UAQEuqUY2XiVCajABDRysrK5Igt/1o9EISEOuVYmTiVySgARLTMzEw5Yjc2Nlo9EISEOuVYmTiVySgARK7u7m45XDscDpfLZfVYEBLqlGNl4lQmowAQuWpqauRwnZeXZ/VAECrqlGNl4lQmowAQuYqKiuRwvWfPHqsHglBRpxwrE6cyGQWAyJWUlCSH6/b2dqsHglBRpxxHc5w+f3sHAGBPbW1tcqxOSUmxeiAIIXXKsTJxKpNRAIhQFRUVcqwuKiqyeiAIIXXKsTJxKpNRAIhQubm5cqyura21eiAIIXXKsTJxKpNRAIhELpfL4XDIsbqnp8fqsSCE1CnHysSpTEYBIBI1NDTIgTorK8vqgSC01CnHysSpTEYBIBKVlpbKgbq8vNzqgSC01CnHysSpTEYBIBKlp6fLgbqpqcnqgSC01CnHysSpTEYBIOJ0dXXJUTo+Pr6/v9/qsSC01CnH5sfpcrnKy8tnzZrlcDjk3+3bt3/++eembyVY6mQUACJOdXW1HKVXrlxp9UAQcuqUY/PjvP/++xcvXtzW1iadlvy7aNGi733ve6ZvJVjqZBQAIk5hYaEcpauqqqweCEJOnXJsfpyTJ0/u6urS/5RpmWP6VoKlTkYBIOIkJibKUbqjo8PqgSDk1CnHdm+w3n///ZUrVzoHyIT8ObT1qJNRAIgsLS0tcohOTU21eiAIB3XKcUguEebm5r777rsul0v+lenhXCKcP3/+tm3begds3bpV/hzaetTJKABElt27d8shevPmzVYPBOGgTjkOyU3u0hLNnDnT4XDIv4899thwbnKPi4u7cOGCNv3ZZ5/Jn0NbjzoZBYDIkpOTI4fo1157zeqBIBzUKcd2j7OgoGD79u2ffvppb29veXm5/Dm09aiTUQCIIH19fbED5CBv9VgQDuqUY7vHefbs2enTp48YIBMffvihn4VH+BW2MQMAArRnzx45Pl977bVWDwRhok45Nj/Otra2hQsXjh071pTmJjc3d+vWrfo9WPLn0NajTkYBIIIkJCTI8dnpdFo9EISJOuXY/DizsrJ27dr1pz/9yZS1SaPGPVgAEJW6urpGjhwpx+fFixdbPRaEiTrl2Pw4HQ7HH//4R7PWNn/+/PLycu0M1qOPPrpw4UL9v4JKkjoZBYBIUVJSIgfn22+/nV/IUYc65dj8OKdPn97Z2WnW2k6fPp2Xlzd+wLJly9577z39v2iwACByydtmp9MpB+fW1larx4LwUaccmx/nM888k5+f393dbfqah0OdjAJARKioqJAj85DvrEWEUqccmxOn/4/v2WFv2mEMAACNy+VKSkqSI3NDQ4PVY0FYqVOOlYlTmYwCgP1VV1fLYTkjI8PqgSDc1CnH5sc5cuRI09c5fOpkFADsLy0tTQ7LNTU1Vg8E4aZOOTY/ziuvvPJ//ud/TF/tMKmTUQCwubq6Ou3XnfnwoILUKcfmx/n000/fddddZ86cuXjxoukrHzJ1MgoANqf9+GBlZaXVA4EF1CnH5sfJTe4AACPNzc3aV7f39fVZPRZYQJ1yrEycymQUAOwsPz9fDsjl5eVWDwTWUKccKxOnMhkFANvq6OiIjY11OBx2+65EhI065ViZOJXJKADY1ubNm+VoXFxcbPVAYBl1ynE0x2m3+8AAQGXd3d0Oh0OOxh0dHVaPBZZRpxwrE6cyGQUAe9q5c6ccivPz860eCKykTjlWJk5lMgoANuRyubSfdj569KjVY4GV1CnHysSpTEYBwIYqKyvlOJydnW31QGAxdcqxMnEqk1EAsJv+/v7Zs2fLcbiurs7qscBi6pRjZeJUJqMAYDe1tbVyEJYey+qBwHrqlGNl4lQmowBgNxkZGXIQPnDggNUDgfXUKcfKxKlMRgHAVpqamuQInJSU5HK5rB4LrKdOOVYmTmUyCgC2kpeXJ0fg3bt3Wz0Q2II65ViZOJXJKADYx4MPPiiH33HjxvX29lo9FtiCOuVYmTiVySgA2MSOHTu0H9K4+eabrR4L7EKdchwBcb7zzjtLly6VN0DJyckHDx4c2krUySgAWK6np6egoED/pbI33njD6hHBLtQpx3aP89SpU1OnTq2pqfnkk08++OCDu+++e2jrUSejAGCt1157LTExUY66TqfzRz/6UWdnp9Ujgo2oU47tHqd0VPv37x/+etTJKABYxf3E1cqVK7u6uqweEWxHnXJs9zgnT5782GOPTZkyZeLEievWrRvybZLqZBQALOF+4qq6utrq4cCm1CnHdo9z1KhRa9asOTegsLCwqKjIz8Ij/ArbmAEgCvzjP/7jHXfccejQoZ6eHv9LcuIKgVOnHNs9zoSEhI8//liblh5L3h4NbT3qZBQAhu+5555zf4OalJQknVNpaWltbW1bW1t/f7+2WFNT04svvsiJKwROnXJs9zizs7Olr9KmP/roIxosAAgpjw8ATp06NT4+3uOCgMPhyMjIuPrqq/U5nLhCgNQpx3aP8+DBg6tXr9YvEa5fv17/r6CSpE5GAWDIPD4AePToUW1+R0dHXV3dzp078/PzZ8+e7d5sjRw5sqqqytphI4KoU44jIM7t27fLC37ChAlr1651v8mdBgsAzBLUfVR9fX3Nzc27du1avHjxoUOHwjZIRAF1yrEycSqTUQAIFh8ARNioU46ViVOZjAJA4PgAIMJMnXKsTJzKZBQAAtHc3HzgwAFOXCHM1CnHysSpTEYBYFC7d+/mA4CwhDrlWJk4lckoABjp6emprKzMzMzUuyvptKweFNSiTjlWJk5lMgoAHlwuV21t7cqVK2NjY7W+avz48dJm7du3z+qhQTnqlGNl4lQmowCga2pqKi4u1r8pVBqs/Pz81157TVouq4cGRalTjpWJU5mMAlBcf3//448/PmfOnMsvv1y/FJiVlbV///5Bf1UQCDV1yrEycSqTUQBq6uzsrKqqKigocDqdel+VmppaXl7e0dFh9eiA/0udcqxMnMpkFIA6+vr66urqNm/e7PHzNePGjZN/77nnHqsHCHhSpxxHc5wev05q9XAAYBD9/f1HjhwpLCwsKSnZaaC8vDw7OzsrK2vBggX6Tevad1kVFBRUVVV1dnZeGvjAoNXRAD6oU46ViVOZjAKIOD6v7gVCGixptqTram5ulubM6jiAwalTjpWJU5mMAogI/q/uSadldAZLHhI7YM+ePbISq+MAgqNOOVYmTmUyCsC2+vv7V6xYkZKScsMNNxhd3evu7tYv8xnpGRCuUQNmUqccKxOnMhkFYEOtra3l5eXSWnF1D4pTpxwrE6cyGQVgH1pf5X4RUPqqsWPHPvXUU1zdg5rUKcfKxKlMRgFYzruvSkxMLC4ubmxs5GQVFKdOOVYmTmUyCiDMuru729rampqaqqqq7rzzzqlTp9JXAUbUKcfKxKlMRgGEyDPPPDN//vxNmzYVFRXl5uZmZGS431PlbuLEifRVgE/qlGNl4lQmowBMV19fv3LlSqMvo0pMTExLS8vJybn66qvlz8suu4yP+AFG1CnHkRGnHK20s+5DXoM6GQVgFjny7NmzJzU1VWukRo4cKf9KI1VdXd3Q0NDS0uLxZQoul6umpqatrc2i8QIRQJ1yHBlxfve7333yySdpsACEhzRPRUVFDodDa62kx5JO6+zZszRPwDCpU44jIM6TJ0/OmjVL3hrSYAEInaNHjx4/fry6ujozM1O//Ldy5cr6+nqrhwZED3XKcQTEuXz58pdeeunS8LKiTkYBDMGPfvQjj9uqSktL/X+dOoAhUKcc2z3On/3sZzfddNPFixcvBZAVo1tQNWEZL4AI09raWlhYGBMTox0o0tLSqqurXS6X1eMCopM65djucV5zzTVHjx7VpjmDBcBE9fX1OTk5Wl8VGxt74403Pvnkk1YPCohy6pRju8dp1okodTIKwD+Xy1VdXZ2enq4dUpxOZ2lpaXd3t9XjApSgTjmOpDg9shJUktTJKKCa/v7+Bx98cMWKFQcOHGhqampvb/f+GipZprm5WeZXVFQkJSVprVVKSkplZWVvb68lwwbUpE45jqQ4abAAuNN+8i85OdnnbZepqamZmZl5eXlFRUWzZs3SrgNq/5WRkVFTU8PXrAPhp045ViZOZTIKRD3vn1LWvgJ00aJFOTk5Mt/pdBp92EX6rcbGRqsjANSlTjlWJk5lMgpEK+++Sv8p5a6uLo+vVOjv75c5zc3N9fX11dXVstiCBQu0L3wBYCF1yrEycSqTUSCCSBtUW1u7fv166Zx2GigoKBg7dmxCQoJ3X8U1PiDiqFOOlYlTmYwCNqfdb15RUZGXlzdu3Dija3neJk2aRF8FRDp1yrEycSqTUcA+pBNqaGhob293b6ri4+Pd2ybt9qkFCxYYncEqLCycOHGi/EtfBUQBdcqxMnEqk1HAJqQfuv/++7UWyuNMVUZGRklJSV1dXW9v79GjR6uqqvr6+qweL4BwUKccKxOnMhkFrNXZ2SkNU0FBgcdH+dybKqvHCMAy6pRjZeJUJqNA+PX19UnntHnzZveP+ImZM2fecsstP/jBD2iqAGjUKcfKxDlixAMPPFBTU2P0Rc+XBopE+AcGRK5XX301Ozv7hhtu0L/Ac8TAL88UFBRUVVV5fG8CAFyiwYo+Pj+U5PFFzzExMcuXLze603bDhg2TJ09evHgxv1kGtLa2FhYW6i8labCk05KXSXNzM7eiA/CDBisaeHdUy5YtG/SLngMhD8/Kytq8eXNlZWVDQ4Pecklp4VIIolt9fb28iLQXgvYBQHnXwdlfAAGiwYo2ktGOjg73OR5f9Lx8+fLU1NQNGzYYncEqKiqKj4+fNGlSYmKiz5brpptuGj9+/OjRo0tLS/1ciAQikcvlkpdJenq6/oSX5/mZM2fkqc4pKwCBo8GKNuZmVDonqSv79+/fsmWLvJv32XLp3C9Erlq16sorr7znnnu4zohI0dvbW1FRkZSUpD2fU1JSKisrOVMLYGhosKJNqDOqtVxLly6dOXPmypUrA7kQaXSdEbCQdma3paXln//5nzds2OD+vaAZGRk1NTWcrwIwHDRY0caqjHpciJTea/To0cnJyX6uM6anp0vj9W//9m+WDBgqkG5eno133HHHd77znaKiInlaZmdnp6amenzHuk7arMbGRqtHDSAa0GBFGxtmdNDrjElJSWvWrJFCaNXJrba2NpfLFeqtSHSDXm8KwzCij77TZKK1tVWeSCUlJbm5uf6vaGsXtTMyMubNm6f9+cILL1gbCIBoYsNyHCLKxBkJGZWWq6amZuzYsaNHj548ebJ7zUtPTy8tLW1oaAhPqyFNT1FRkWw3ISFh+/btPu/6l/mZmZlz586Vsm30yQAZ8/Lly/0sUFxcHDtAukyjZSR22SFr167lowP+6Vf33nrrrZSUlHHjxt12222y99y/pEo/Vzpp0iSZuOKKK6Txqqurk30rj/XodJubm2VtVoUDICpFRDk2hTJxRk5GpYXSPvQuzURlZaXHj+M6HA7paS6//PJNmzaZ1XAEe4bDDtw/OiDNWUZGhkwbtWji+uuvl4c8/vjjkdulSdfb1tYm49+9e/e8efO02Ae9uqeRNqugoKCioqK+vr6rq+vSwNfq1tbWRuJ+ABDRRkROOR4mZeKM5IxKAyRltaysTFqKQBqO0tJSKbp+vjRVazicTueiRYuMznD85V/+5bXXXrtq1SqjNch4ZDFp+GSLRsvMnDlzxMBpEj8rWbBggYy2vLzcaBkJasqUKbfeeqsp32FmtNPWrl2rfUDBz1Bl67LMvn37jLq03t7eurq64XwpVGdn544dOxYvXnzffffJqKTfld4xJSUl8IhkedlX0oXLo6QVa2lp4QIrAPsYEcnlOCjKxBktGZWiftddd40ePVo6JBMbDu8zHIHo7+/330xoFz1Nv4fM46MD+fn5EkJ8fPyjjz7qszfavn27dB7SC0pDGdIuTRpBmTNv3rwAz5NJFBLCnj175LGyEv9noRITE9PS0mT80vvGxMRI23rw4EGjq3sAYE8joqUcD0qZOKM6ox4Nx6pVq0YM/HpJaWmp0fkY6agSEhIeeOCB6DjDIeEHG4XHTsvNzZWuZe7cuUZ77OGHH5aeZvz48QF+DYfPDuzBBx+U6YyMDKN2KikpSRpBmZBNyKgaGhokQd4/6selPQARKrrLsTu7x3nkyJHFixdLyZkyZcrGjRvPnz8/tPWok1FNR0cHNThYQzgJ5NGlbdmyJSsrK/AOTNopabxKSkqqqqpkJdoA+vr6ZDoE8QGA9dQpx3aPc8mSJYcPH5aSc+7cuU2bNq1YsWJo61Eno7AVjw5szZo1MTExcXFx8icX9QAoSJ1yHElxXrhwYdy4cUN7rDoZhc11d3fz08gAlKVOOY6kOOvq6nJycob2WHUyCgCAbalTjiMmzhMnTsyYMePUqVN+lvF/v0vYhgoAAHxSpxxHRpxNTU3Tpk07duzYkNegTkYBALAtdcpxBMRZW1ubnJx8/Pjx4axEnYwCAGBb6pRju8e5d+/eadOmtbe3e/9XUElSJ6MAANiWOuXY7nF630qlfwKLBgsAgMiiTjlWJk4AAGADVncEYaJKnKETnudK2J6R0RRONG0lbBtiK7bdUDRtJWwbYit23lDUYz8OFy8tthKGrYRtQ2zFthuKpq2EbUNsxc4binrsx+HipcVWwrCVsG2Irdh2Q9G0lbBtiK3YeUNRj/04XLy02EoYthK2DbEV224omrYStg2xFTtvKOqxH2EBXsC2RWpsi9TYFqmBTzwtYAGOR7ZFamyL1NgWqYFPPC1gAY5HtkVqbIvU2BapgU88LWABjke2RWpsi9TYFqmBTzwtYAGOR7ZFamyL1NgWqYFPPC0AAABMRoMFAABgMhosAAAAk9FgAQAAmIwGCwAAwGQ0WAAAACajwQIAADAZDRZMMOL/8TlTk5CQ4P3AixcvPvzww06nc8KECWVlZfKn//kIls/UvP/++ytXrnQOkAn50/uBpCbUfKamt7d33bp1EydOTExM3LFjh88HkpqQOnLkyOLFix0Ox5QpUzZu3Hj+/HltfiC7l9TAHQ0WTOPn2/aefvrp0tJS7/lVVVXXX3/97wbIxPPPP+9/PobGIzXz58/ftm1b74CtW7fKn94PITXh4ZGaoqKiwsLCjwasWrXqhRde8H4IqQmpJUuWHD58uK+v79y5c5s2bVqxYoU2P5DdS2rgjgYLpjFqsL744osZM2acPXvWe0kp7XIs06ZlYuHChf7nY2g8UhMXF3fhwgVt+rPPPpM/vZckNeHhkZpJkyZJXdempcfKzs72XpLUhI28TMaNG6dN+9m9pAY+0WDBNEYNlrxdW79+vc8lExISenp6tOmPP/7Y6XT6n4+h8UhNQUHB9u3bP/30097e3vLycvnTe0lSEx7eDZbsVW1aOi333Utqwq+uri4nJ0eb9rN7SQ18osGCaXw2WF9//fXcuXNPnjzp8yExMTFffvmlNi0To0aN8j8fQ+ORmrNnz06fPl27AUgmPvzwQ++HkJrw8EjN2rVrV69efW7At771rdjYWO+HkJrwOHHixIwZM06dOqX9GcjuJTVwR4MF0/hssGpra++44w6jh/CGLzw8UpObm7t161b9Hiz50/shpCY8PFLzhz/8QfqqCRMmTJ48+YknnkhKSvJ+CKkJg6ampmnTph07dkyfE8juJTVwR4MF0/hssDIyMn71q18ZPYRbFsLDIzVjx441ugdLR2rCw89HQ3784x9Ls+U9n9SEmrwtTE5OPn78uPvMQHYvqYE7GiyYxrtUvP322wsWLPCz5LPPPuvzwzVG8zE03p8iLC8v185gPfrooz5v1yU14eGRmtWrV3d1dUleDh06NHXq1N/+9rfeS5KakNq7d++0adPa29s95vvZvaQGPtFgwQQeX3mlz8/Ozq6rq/O5vDZx8eLFhx56SPtCpkceecT9a2N8zkewfKbm9OnTeXl54wcsW7bsvffec19emyA1oeYzNQcPHkxOTo6Li1uyZMmJEyc8ltcmSE1IjfDS19d3ye/uJTXwiQYLAADAZDRYAAAAJqPBAgAAMBkNFgAAgMlosDBcwf42qtF8o/V4MHq40Y32AY7WfQ3D3ycAAMVRSzBcwf42qtF8o/V4MHp4gI3RoFuhwQIADB+1BGYK5LdRA/nOPff1eDB6+BAaI59bocECAAwftQRmCuS3UQP51Qj39Xgwerg0RomJiXFxcenp6T/84Q+/+uqroEaro8ECAAwftQSmCfC3UQf93VOP9Xjw//DPP/+8paVl4cKFJSUlQY1WR4MFABg+agnMEfhvo/o/g+W9Ho97zwM5AfbBBx+4n9nyvnXdeyvumws0ZgAADFBLYIKgfhvVzz1YPtfjIZBbuLq6uiZPnhzUaHU0WACA4aOWYLiC/W1Uo/lG6wlwtYWFhW1tbV988cXJkydzc3Pvv//+oEaro8ECAAwftQTDFexvoxrNN1qPB6OHv/LKK/PmzRszZsysWbO2bdvmcrmCGq33f5m7lwAASqGKAAAAmIwGCwAAwGQ0WAAAACajwQIAADAZDRYAAIDJaLAAAABMRoMFAABgMhosAAAAk9FgAQAAmIwGCwAAwGQ0WAAAACajwQIAADAZDRYAAIDJaLAAAABMRoMFAABgMhosAAAAk9FgAQAAmIwGCwAAwGQ0WAAAACajwQIAADAZDRYAAIDJaLAAAABMRoMFAABgMhosAAAAk9FgAQAAmIwGCwAAwGT/H5X2bEp0YOM3AAAAAElFTkSuQmCC)
| VMR Tools created by Darren De Zeeuw. |